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Cure Model Regression

Usage

# S3 method for formula
cureit(
  surv_formula,
  cure_formula,
  data,
  conf.level = 0.95,
  nboot = 100,
  eps = 1e-07,
  ...
)

cureit(object, ...)

# S3 method for default
cureit(object, ...)

Arguments

surv_formula

formula with Surv() on LHS and covariates on RHS.

cure_formula

formula with covariates for cure fraction on RHS

data

data frame

conf.level

confidence level. Default is 0.95.

nboot

number of bootstrap samples used for inference.

eps

convergence criterion for the EM algorithm.

...

passed to methods

object

input object

Value

cureit object

See also

Examples

cureit(surv_formula = Surv(ttdeath, death) ~ age + grade, 
cure_formula = ~ age + grade,  data = trial)
#> 0 were not able to fit
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002616112               0.569504769               0.345883977 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.575003030             0.009813492             0.108542405 
#>   grade_iii, Cure model 
#>             0.823899189 
#> 
#> $surv_formula
#> Surv(ttdeath, death) ~ age + grade
#> <environment: 0x55d6f0c30f68>
#> 
#> $cure_formula
#> ~age + grade
#> <environment: 0x55d6f0c30f68>
#> 
#> $data
#> # A tibble: 200 × 8
#>    trt      age marker stage grade response death ttdeath
#>    <chr>  <dbl>  <dbl> <fct> <fct>    <int> <dbl>   <dbl>
#>  1 Drug A    23  0.16  T1    II           0     0    24  
#>  2 Drug B     9  1.11  T2    I            1     0    24  
#>  3 Drug A    31  0.277 T1    II           0     0    24  
#>  4 Drug A    NA  2.07  T3    III          1     1    17.6
#>  5 Drug A    51  2.77  T4    III          1     1    16.4
#>  6 Drug B    39  0.613 T4    I            0     1    15.6
#>  7 Drug A    37  0.354 T1    II           0     0    24  
#>  8 Drug A    32  1.74  T1    I            0     1    18.4
#>  9 Drug A    31  0.144 T1    II           0     0    24  
#> 10 Drug B    34  0.205 T3    I            0     1    10.5
#> # ℹ 190 more rows
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> $surv_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $cure_xlevels
#> $cure_xlevels$grade
#> [1] "I"   "II"  "III"
#> 
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure mod… -0.575      0.508     -1.13  -1.57       0.421   0.258 
#> 2 age, Cure model         0.00981    0.0102     0.964 -0.0101     0.0298  0.335 
#> 3 grade_ii, Cure model    0.109      0.350      0.310 -0.578      0.795   0.757 
#> 4 grade_iii, Cure model   0.824      0.419      1.97   0.00305    1.64    0.0492
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 7
#>   term                   estimate std.error statistic conf.low conf.high p.value
#>   <chr>                     <dbl>     <dbl>     <dbl>    <dbl>     <dbl>   <dbl>
#> 1 age, Survival model    -0.00262   0.00849    -0.308  -0.0192    0.0140  0.758 
#> 2 grade_ii, Survival mo…  0.570     0.271       2.10    0.0392    1.10    0.0353
#> 3 grade_iii, Survival m…  0.346     0.234       1.48   -0.114     0.805   0.140 
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.575003          0.009813          0.108542          0.823899  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 253.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.575003030      0.009813492      0.108542405      0.823899189 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002616112      0.569504769      0.345883977 
#> 
#> $b_var
#> [1] 0.2582626740 0.0001037265 0.1228263462 0.1753938323
#> 
#> $b_sd
#> [1] 0.50819551 0.01018462 0.35046590 0.41880047
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.1314603        0.9635599        0.3097089        1.9672834 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.25786141       0.33526660       0.75678234       0.04915055 
#> 
#> $beta_var
#> [1] 7.200999e-05 7.320815e-02 5.496806e-02
#> 
#> $beta_sd
#> [1] 0.00848587 0.27057005 0.23445269
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.3082904        2.1048330        1.4752826 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.75786140       0.03530585       0.14013657 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.000000000 0.000000000 0.000000000 0.604678067 0.658063410 0.000000000
#>   [7] 0.417229340 0.000000000 0.879376354 0.000000000 0.000000000 0.744886187
#>  [13] 0.787600867 0.142672058 0.944518547 0.000000000 0.693100768 0.000000000
#>  [19] 0.000000000 0.000000000 0.000000000 0.540871173 0.006912639 0.976381134
#>  [25] 0.640373656 0.000000000 0.000000000 0.684419417 0.522291631 0.000000000
#>  [31] 0.278243702 0.000000000 0.000000000 0.000000000 0.246976530 0.821307758
#>  [37] 0.000000000 0.666890646 0.466018936 0.456394953 0.829660071 0.854634203
#>  [43] 0.000000000 0.531599829 0.000000000 0.000000000 0.000000000 0.846335953
#>  [49] 0.446649365 0.887603756 0.000000000 0.000000000 0.368370905 0.837991986
#>  [55] 0.736284601 0.368370905 0.762052697 0.904005497 0.000000000 0.130947018
#>  [61] 0.000000000 0.000000000 0.178167087 0.000000000 0.298558895 0.093531067
#>  [67] 0.960518552 0.000000000 0.000000000 0.000000000 0.000000000 0.387858887
#>  [73] 0.968455884 0.020860827 0.613665875 0.000000000 0.753465281 0.000000000
#>  [79] 0.000000000 0.000000000 0.586773524 0.036370054 0.000000000 0.427038837
#>  [85] 0.267747949 0.984266892 0.106209363 0.895813391 0.000000000 0.000000000
#>  [91] 0.727657186 0.397671772 0.000000000 0.246976530 0.631469660 0.920311545
#>  [97] 0.000000000 0.000000000 0.000000000 0.348502061 0.550166021 0.862915985
#> [103] 0.436874482 0.000000000 0.494318881 0.513013956 0.000000000 0.118522726
#> [109] 0.000000000 0.503694197 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.779118376 0.649247645 0.000000000 0.992139734 0.308649170
#> [121] 0.080274841 0.568542449 0.000000000 0.000000000 0.718999352 0.475516896
#> [127] 0.000000000 0.201867710 0.000000000 0.000000000 0.224987874 0.796088245
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.912176411 0.000000000
#> [139] 0.000000000 0.000000000 0.952539418 0.318644852 0.000000000 0.000000000
#> [145] 0.236117909 0.804529313 0.770582430 0.000000000 0.701722215 0.328677697
#> [151] 0.871155498 0.000000000 0.000000000 0.000000000 0.000000000 0.065734870
#> [157] 0.000000000 0.338572747 0.675684959 0.050684149 0.154512416 0.358472658
#> [163] 0.559374570 0.000000000 0.000000000 0.000000000 0.189977968 0.000000000
#> [169] 0.812910823 0.000000000 0.407438340 0.710355937 0.577676416 0.000000000
#> [175] 0.936485829 0.484909262 0.000000000 0.000000000 0.928419678 0.622583868
#> [181] 0.288505592 0.000000000 0.586773524 0.000000000 0.166456957 0.000000000
#> [187] 0.213576414 0.000000000 0.000000000
#> 
#> $Time
#>     1     2     3     5     6     7     8     9    10    11    12    13    14 
#> 24.00 24.00 24.00 16.43 15.64 24.00 18.43 24.00 10.53 24.00 24.00 14.34 12.89 
#>    15    16    17    18    19    20    21    22    23    24    25    26    27 
#> 22.68  8.71 24.00 15.21 24.00 24.00 24.00 24.00 16.92 23.89  6.32 15.77 24.00 
#>    28    29    30    31    32    33    34    35    36    37    38    39    40 
#> 24.00 15.45 17.43 24.00 20.90 24.00 24.00 24.00 21.19 12.52 24.00 15.59 18.00 
#>    41    42    43    44    45    46    47    48    49    51    52    53    54 
#> 18.02 12.43 12.10 24.00 17.42 24.00 24.00 24.00 12.19 18.23 10.42 24.00 24.00 
#>    55    56    57    58    60    61    62    63    64    65    66    67    68 
#> 19.34 12.21 14.46 19.34 13.15 10.12 24.00 22.77 24.00 24.00 22.13 24.00 20.62 
#>    69    70    71    72    74    75    76    77    78    79    80    81    82 
#> 23.23  7.38 24.00 24.00 24.00 24.00 19.22  7.27 23.88 16.23 24.00 14.06 24.00 
#>    83    84    85    86    87    88    90    91    92    93    94    95    96 
#> 24.00 24.00 16.44 23.81 24.00 18.37 20.94  5.33 22.92 10.33 24.00 24.00 14.54 
#>    97    98    99   100   101   102   103   104   105   106   107   108   109 
#> 19.14 24.00 21.19 16.07  9.97 24.00 24.00 24.00 19.75 16.67 11.18 18.29 24.00 
#>   110   111   112   113   116   117   118   119   120   121   122   123   125 
#> 17.56 17.45 24.00 22.86 24.00 17.46 24.00 24.00 24.00 24.00 24.00 13.00 15.65 
#>   126   127   128   129   130   131   132   133   134   135   136   137   138 
#> 24.00  3.53 20.35 23.41 16.47 24.00 24.00 14.65 17.81 24.00 21.83 24.00 24.00 
#>   139   140   141   142   143   144   145   146   147   148   149   150   151 
#> 21.49 12.68 24.00 24.00 24.00 24.00 10.07 24.00 24.00 24.00  8.37 20.33 24.00 
#>   152   153   154   155   156   157   158   159   160   161   162   163   164 
#> 24.00 21.33 12.63 13.08 24.00 15.10 20.14 10.55 24.00 24.00 24.00 24.00 23.60 
#>   165   166   167   168   169   170   171   172   173   174   175   176   177 
#> 24.00 19.98 15.55 23.72 22.41 19.54 16.57 24.00 24.00 24.00 21.91 24.00 12.53 
#>   178   179   180   181   182   183   184   185   186   187   188   190   191 
#> 24.00 18.63 14.82 16.46 24.00  9.24 17.77 24.00 24.00  9.92 16.16 20.81 24.00 
#>   192   193   194   196   197   198   200 
#> 16.44 24.00 22.40 24.00 21.60 24.00 24.00 
#> 
#> $bootstrap_fit
#> $bootstrap_fit[[1]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01496395               -0.01015668               -0.16043469 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.66986063              0.00608809              0.39795257 
#>   grade_iii, Cure model 
#>              1.22105307 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 57    14.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 136   21.83      1  43        0         1
#> 91     5.33      1  61        0         1
#> 192   16.44      1  31        1         0
#> 101    9.97      1  10        0         1
#> 107   11.18      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 37    12.52      1  57        1         0
#> 181   16.46      1  45        0         1
#> 187    9.92      1  39        1         0
#> 153   21.33      1  55        1         0
#> 99    21.19      1  38        0         1
#> 117   17.46      1  26        0         1
#> 123   13.00      1  44        1         0
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 69    23.23      1  25        0         1
#> 13.1  14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 26    15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 63    22.77      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 88    18.37      1  47        0         0
#> 169   22.41      1  46        0         0
#> 179   18.63      1  42        0         0
#> 55    19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 195   11.76      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 57.1  14.46      1  45        0         1
#> 107.1 11.18      1  54        1         0
#> 63.1  22.77      1  31        1         0
#> 111   17.45      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 30    17.43      1  78        0         0
#> 81    14.06      1  34        0         0
#> 68.1  20.62      1  44        0         0
#> 111.1 17.45      1  47        0         1
#> 10.1  10.53      1  34        0         0
#> 166   19.98      1  48        0         0
#> 106   16.67      1  49        1         0
#> 195.1 11.76      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 171   16.57      1  41        0         1
#> 76    19.22      1  54        0         1
#> 180   14.82      1  37        0         0
#> 23    16.92      1  61        0         0
#> 153.2 21.33      1  55        1         0
#> 139   21.49      1  63        1         0
#> 140   12.68      1  59        1         0
#> 145.2 10.07      1  65        1         0
#> 14    12.89      1  21        0         0
#> 199   19.81      1  NA        0         1
#> 187.1  9.92      1  39        1         0
#> 32    20.90      1  37        1         0
#> 93    10.33      1  52        0         1
#> 128   20.35      1  35        0         1
#> 79    16.23      1  54        1         0
#> 8     18.43      1  32        0         0
#> 89    11.44      1  NA        0         0
#> 114   13.68      1  NA        0         0
#> 76.1  19.22      1  54        0         1
#> 4.1   17.64      1  NA        0         1
#> 117.1 17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 158   20.14      1  74        1         0
#> 101.1  9.97      1  10        0         1
#> 4.2   17.64      1  NA        0         1
#> 188   16.16      1  46        0         1
#> 181.1 16.46      1  45        0         1
#> 14.1  12.89      1  21        0         0
#> 153.3 21.33      1  55        1         0
#> 49.1  12.19      1  48        1         0
#> 108   18.29      1  39        0         1
#> 43.1  12.10      1  61        0         1
#> 97    19.14      1  65        0         1
#> 49.2  12.19      1  48        1         0
#> 158.1 20.14      1  74        1         0
#> 15.1  22.68      1  48        0         0
#> 85    16.44      1  36        0         0
#> 125   15.65      1  67        1         0
#> 36    21.19      1  48        0         1
#> 61    10.12      1  36        0         1
#> 57.2  14.46      1  45        0         1
#> 139.1 21.49      1  63        1         0
#> 69.2  23.23      1  25        0         1
#> 199.2 19.81      1  NA        0         1
#> 92    22.92      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 69.3  23.23      1  25        0         1
#> 136.1 21.83      1  43        0         1
#> 149    8.37      1  33        1         0
#> 133.1 14.65      1  57        0         0
#> 4.3   17.64      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 16     8.71      1  71        0         1
#> 18    15.21      1  49        1         0
#> 90    20.94      1  50        0         1
#> 23.1  16.92      1  61        0         0
#> 30.1  17.43      1  78        0         0
#> 170   19.54      1  43        0         1
#> 127    3.53      1  62        0         1
#> 39    15.59      1  37        0         1
#> 33    24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 182   24.00      0  35        0         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 182.1 24.00      0  35        0         0
#> 47    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 33.1  24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 172   24.00      0  41        0         0
#> 104.1 24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 35    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 98.1  24.00      0  34        1         0
#> 109   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 19    24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 198   24.00      0  66        0         1
#> 7.1   24.00      0  37        1         0
#> 185.1 24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 126   24.00      0  48        0         0
#> 9     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 119   24.00      0  17        0         0
#> 21    24.00      0  47        0         0
#> 162.1 24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 98.2  24.00      0  34        1         0
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 112.1 24.00      0  61        0         0
#> 19.1  24.00      0  57        0         1
#> 182.2 24.00      0  35        0         0
#> 144   24.00      0  28        0         1
#> 143   24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 144.1 24.00      0  28        0         1
#> 162.2 24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 163.1 24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 119.1 24.00      0  17        0         0
#> 27.1  24.00      0  63        1         0
#> 71.1  24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 112.2 24.00      0  61        0         0
#> 3.1   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 178.1 24.00      0  52        1         0
#> 87.1  24.00      0  27        0         0
#> 72    24.00      0  40        0         1
#> 11    24.00      0  42        0         1
#> 156.1 24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 62    24.00      0  71        0         0
#> 185.2 24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 112.3 24.00      0  61        0         0
#> 95.1  24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 144.2 24.00      0  28        0         1
#> 1     24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 198.1 24.00      0  66        0         1
#> 126.1 24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.670          NA        NA      NA
#> 2 age, Cure model          0.00609        NA        NA      NA
#> 3 grade_ii, Cure model     0.398          NA        NA      NA
#> 4 grade_iii, Cure model    1.22           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0150        NA        NA      NA
#> 2 grade_ii, Survival model   -0.0102        NA        NA      NA
#> 3 grade_iii, Survival model  -0.160         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.669861          0.006088          0.397953          1.221053  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.1 
#> Residual Deviance: 246 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.66986063       0.00608809       0.39795257       1.22105307 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01496395      -0.01015668      -0.16043469 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7938920 0.7810688 0.3059958 0.9896044 0.6982205 0.9523481 0.9026944
#>   [8] 0.7544260 0.8619841 0.6836497 0.9631175 0.3688870 0.4160355 0.6048292
#>  [15] 0.8375895 0.8313984 0.8127441 0.9362418 0.8912640 0.0779458 0.8127441
#>  [22] 0.7678585 0.7336920 0.8739250 0.2030544 0.3688870 0.9139507 0.5877266
#>  [29] 0.2873596 0.5702183 0.5338738 0.8679844 0.9362418 0.4624981 0.7938920
#>  [36] 0.9026944 0.2030544 0.6216266 0.0779458 0.6381031 0.8251853 0.4624981
#>  [43] 0.6216266 0.9139507 0.5145224 0.6687398 0.6982205 0.6762183 0.5432586
#>  [50] 0.7744845 0.6536890 0.3688870 0.3396705 0.8559281 0.9362418 0.8437390
#>  [57] 0.9631175 0.4510871 0.9251158 0.4840600 0.7195501 0.5790131 0.5432586
#>  [64] 0.6048292 0.2489112 0.4948572 0.9523481 0.7266449 0.6836497 0.8437390
#>  [71] 0.3688870 0.8739250 0.5963102 0.8912640 0.5613033 0.8739250 0.4948572
#>  [78] 0.2489112 0.6982205 0.7406870 0.4160355 0.9306864 0.7938920 0.3396705
#>  [85] 0.0779458 0.1747984 0.0779458 0.3059958 0.9843599 0.7810688 0.9737943
#>  [92] 0.9790980 0.7611737 0.4394637 0.6536890 0.6381031 0.5242535 0.9948179
#>  [99] 0.7475717 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    57   133   136    91   192   101   107    29    37   181   187   153    99 
#> 14.46 14.65 21.83  5.33 16.44  9.97 11.18 15.45 12.52 16.46  9.92 21.33 21.19 
#>   117   123   155    13   145    43    69  13.1   157    26    49    63 153.1 
#> 17.46 13.00 13.08 14.34 10.07 12.10 23.23 14.34 15.10 15.77 12.19 22.77 21.33 
#>    10    88   169   179    55    56 145.1    68  57.1 107.1  63.1   111  69.1 
#> 10.53 18.37 22.41 18.63 19.34 12.21 10.07 20.62 14.46 11.18 22.77 17.45 23.23 
#>    30    81  68.1 111.1  10.1   166   106 192.1   171    76   180    23 153.2 
#> 17.43 14.06 20.62 17.45 10.53 19.98 16.67 16.44 16.57 19.22 14.82 16.92 21.33 
#>   139   140 145.2    14 187.1    32    93   128    79     8  76.1 117.1    15 
#> 21.49 12.68 10.07 12.89  9.92 20.90 10.33 20.35 16.23 18.43 19.22 17.46 22.68 
#>   158 101.1   188 181.1  14.1 153.3  49.1   108  43.1    97  49.2 158.1  15.1 
#> 20.14  9.97 16.16 16.46 12.89 21.33 12.19 18.29 12.10 19.14 12.19 20.14 22.68 
#>    85   125    36    61  57.2 139.1  69.2    92  69.3 136.1   149 133.1   183 
#> 16.44 15.65 21.19 10.12 14.46 21.49 23.23 22.92 23.23 21.83  8.37 14.65  9.24 
#>    16    18    90  23.1  30.1   170   127    39    33   156   135   182   176 
#>  8.71 15.21 20.94 16.92 17.43 19.54  3.53 15.59 24.00 24.00 24.00 24.00 24.00 
#>    65   104   103 182.1    47     7  33.1 135.1   141   112   172 104.1   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1   185   162    27    98    35   121   196  98.1   109    53    19     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   198   7.1 185.1    34   126     9    71   116   119    21 162.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2   200   163 112.1  19.1 182.2   144   143   193    83 144.1 162.2  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1   186    28 119.1  27.1  71.1    87   137 112.2   3.1    95 178.1  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72    11 156.1   146     2    62 185.2  21.1 112.3  95.1 144.2     1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.1 126.1   138    12 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[2]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008082288               0.553868991               0.168075885 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76011346              0.01285107              0.09838250 
#>   grade_iii, Cure model 
#>              0.79177494 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 111   17.45      1  47        0         1
#> 85    16.44      1  36        0         0
#> 50    10.02      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 93    10.33      1  52        0         1
#> 153   21.33      1  55        1         0
#> 90    20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 51    18.23      1  83        0         1
#> 169   22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 10    10.53      1  34        0         0
#> 168   23.72      1  70        0         0
#> 13    14.34      1  54        0         1
#> 179   18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 39    15.59      1  37        0         1
#> 159   10.55      1  50        0         1
#> 69    23.23      1  25        0         1
#> 61    10.12      1  36        0         1
#> 29    15.45      1  68        1         0
#> 32    20.90      1  37        1         0
#> 197   21.60      1  69        1         0
#> 96    14.54      1  33        0         1
#> 8     18.43      1  32        0         0
#> 97    19.14      1  65        0         1
#> 57    14.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 5     16.43      1  51        0         1
#> 61.1  10.12      1  36        0         1
#> 92    22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 81    14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 129   23.41      1  53        1         0
#> 70     7.38      1  30        1         0
#> 63    22.77      1  31        1         0
#> 107   11.18      1  54        1         0
#> 114.1 13.68      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 92.1  22.92      1  47        0         1
#> 177.1 12.53      1  75        0         0
#> 61.2  10.12      1  36        0         1
#> 199   19.81      1  NA        0         1
#> 127    3.53      1  62        0         1
#> 180.1 14.82      1  37        0         0
#> 61.3  10.12      1  36        0         1
#> 45.1  17.42      1  54        0         1
#> 157   15.10      1  47        0         0
#> 97.1  19.14      1  65        0         1
#> 69.1  23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 76    19.22      1  54        0         1
#> 177.2 12.53      1  75        0         0
#> 145   10.07      1  65        1         0
#> 86    23.81      1  58        0         1
#> 32.1  20.90      1  37        1         0
#> 194   22.40      1  38        0         1
#> 187    9.92      1  39        1         0
#> 96.1  14.54      1  33        0         1
#> 145.1 10.07      1  65        1         0
#> 59    10.16      1  NA        1         0
#> 96.2  14.54      1  33        0         1
#> 4     17.64      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 39.1  15.59      1  37        0         1
#> 76.1  19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 51.1  18.23      1  83        0         1
#> 179.1 18.63      1  42        0         0
#> 10.1  10.53      1  34        0         0
#> 117   17.46      1  26        0         1
#> 15    22.68      1  48        0         0
#> 164.1 23.60      1  76        0         1
#> 164.2 23.60      1  76        0         1
#> 187.1  9.92      1  39        1         0
#> 166   19.98      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 90.1  20.94      1  50        0         1
#> 14    12.89      1  21        0         0
#> 114.2 13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 181   16.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 5.1   16.43      1  51        0         1
#> 93.1  10.33      1  52        0         1
#> 189.1 10.51      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 169.1 22.41      1  46        0         0
#> 78    23.88      1  43        0         0
#> 39.2  15.59      1  37        0         1
#> 189.2 10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 88    18.37      1  47        0         0
#> 32.2  20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 86.1  23.81      1  58        0         1
#> 175   21.91      1  43        0         0
#> 60    13.15      1  38        1         0
#> 37.1  12.52      1  57        1         0
#> 154   12.63      1  20        1         0
#> 124.1  9.73      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 66    22.13      1  53        0         0
#> 14.2  12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 188   16.16      1  46        0         1
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 48.1  24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 21    24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 118   24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 83.1  24.00      0   6        0         0
#> 34    24.00      0  36        0         0
#> 144.2 24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 116   24.00      0  58        0         1
#> 34.1  24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 176   24.00      0  43        0         1
#> 35    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 98    24.00      0  34        1         0
#> 198.1 24.00      0  66        0         1
#> 115.1 24.00      0  NA        1         0
#> 144.3 24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 152   24.00      0  36        0         1
#> 54    24.00      0  53        1         0
#> 200.1 24.00      0  64        0         0
#> 198.2 24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 146   24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 165   24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 198.3 24.00      0  66        0         1
#> 122.1 24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 7     24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 178   24.00      0  52        1         0
#> 83.2  24.00      0   6        0         0
#> 174   24.00      0  49        1         0
#> 38    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 38.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 162.1 24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 19.1  24.00      0  57        0         1
#> 98.1  24.00      0  34        1         0
#> 35.1  24.00      0  51        0         0
#> 146.1 24.00      0  63        1         0
#> 161.1 24.00      0  45        0         0
#> 156   24.00      0  50        1         0
#> 80.1  24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 35.2  24.00      0  51        0         0
#> 162.2 24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 152.1 24.00      0  36        0         1
#> 200.2 24.00      0  64        0         0
#> 151.1 24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 121   24.00      0  57        1         0
#> 186.1 24.00      0  45        1         0
#> 9.2   24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 178.1 24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 161.2 24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 19.2  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.760         NA        NA      NA
#> 2 age, Cure model           0.0129        NA        NA      NA
#> 3 grade_ii, Cure model      0.0984        NA        NA      NA
#> 4 grade_iii, Cure model     0.792         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00808        NA        NA      NA
#> 2 grade_ii, Survival model   0.554          NA        NA      NA
#> 3 grade_iii, Survival model  0.168          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76011           0.01285           0.09838           0.79177  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76011346       0.01285107       0.09838250       0.79177494 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008082288      0.553868991      0.168075885 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.387802347 0.429617328 0.703242866 0.805297171 0.176294442 0.185718776
#>   [7] 0.536915480 0.336450729 0.121411020 0.919880223 0.782469796 0.023128336
#>  [13] 0.613677850 0.296818256 0.030801063 0.483145680 0.771052275 0.062477400
#>  [19] 0.828269739 0.515092124 0.204480616 0.166811671 0.558815744 0.316358403
#>  [25] 0.277641808 0.591521454 0.919880223 0.440269818 0.828269739 0.079100560
#>  [31] 0.624906039 0.737034633 0.053624369 0.954284289 0.096430282 0.759670192
#>  [37] 0.398218384 0.079100560 0.703242866 0.828269739 0.988535291 0.536915480
#>  [43] 0.828269739 0.398218384 0.525968027 0.277641808 0.062477400 0.356813728
#>  [49] 0.258855522 0.703242866 0.873866696 0.011666636 0.204480616 0.138899787
#>  [55] 0.896952971 0.558815744 0.873866696 0.558815744 0.680754049 0.483145680
#>  [61] 0.258855522 0.965717909 0.336450729 0.296818256 0.782469796 0.377439448
#>  [67] 0.112732115 0.030801063 0.030801063 0.896952971 0.240138355 0.591521454
#>  [73] 0.096430282 0.185718776 0.647404138 0.230941939 0.419031114 0.942800403
#>  [79] 0.647404138 0.440269818 0.805297171 0.249449462 0.121411020 0.005831320
#>  [85] 0.483145680 0.977108122 0.326355690 0.204480616 0.001497399 0.011666636
#>  [91] 0.157331093 0.636182917 0.737034633 0.692042327 0.472343089 0.148015432
#>  [97] 0.647404138 0.367088274 0.461537438 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   111    85   177    93   153    90   180    51   169   183    10   168    13 
#> 17.45 16.44 12.53 10.33 21.33 20.94 14.82 18.23 22.41  9.24 10.53 23.72 14.34 
#>   179   164    39   159    69    61    29    32   197    96     8    97    57 
#> 18.63 23.60 15.59 10.55 23.23 10.12 15.45 20.90 21.60 14.54 18.43 19.14 14.46 
#> 183.1     5  61.1    92    81    37   129    70    63   107    45  92.1 177.1 
#>  9.24 16.43 10.12 22.92 14.06 12.52 23.41  7.38 22.77 11.18 17.42 22.92 12.53 
#>  61.2   127 180.1  61.3  45.1   157  97.1  69.1   134    76 177.2   145    86 
#> 10.12  3.53 14.82 10.12 17.42 15.10 19.14 23.23 17.81 19.22 12.53 10.07 23.81 
#>  32.1   194   187  96.1 145.1  96.2   140  39.1  76.1    25  51.1 179.1  10.1 
#> 20.90 22.40  9.92 14.54 10.07 14.54 12.68 15.59 19.22  6.32 18.23 18.63 10.53 
#>   117    15 164.1 164.2 187.1   166  57.1  63.1  90.1    14   158   181   149 
#> 17.46 22.68 23.60 23.60  9.92 19.98 14.46 22.77 20.94 12.89 20.14 16.46  8.37 
#>  14.1   5.1  93.1    58 169.1    78  39.2    91    88  32.2    24  86.1   175 
#> 12.89 16.43 10.33 19.34 22.41 23.88 15.59  5.33 18.37 20.90 23.89 23.81 21.91 
#>    60  37.1   154   125    66  14.2   184   188    83    47    71    48   198 
#> 13.15 12.52 12.63 15.65 22.13 12.89 17.77 16.16 24.00 24.00 24.00 24.00 24.00 
#>  48.1   104   144    21 144.1   118    80  83.1    34 144.2    12   116  34.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   151     2   122   200   176    35    31   160   119    98 198.1 144.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   152    54 200.1 198.2   186   146    11   165    28    62 198.3 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.1     7     9    82   178  83.2   174    38    95     3    67  38.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19 162.1   9.1   161   112  19.1  98.1  35.1 146.1 161.1   156  80.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2 162.2     1 152.1 200.2 151.1    20   121 186.1   9.2  47.1 178.1    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.2   143  19.2 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[3]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0007180592              0.5715320486              0.3275310586 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.42888277              0.01029063             -0.09207609 
#>   grade_iii, Cure model 
#>              0.57210916 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 100   16.07      1  60        0         0
#> 106   16.67      1  49        1         0
#> 125   15.65      1  67        1         0
#> 113   22.86      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 30    17.43      1  78        0         0
#> 184   17.77      1  38        0         0
#> 24    23.89      1  38        0         0
#> 93    10.33      1  52        0         1
#> 130   16.47      1  53        0         1
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 184.1 17.77      1  38        0         0
#> 155   13.08      1  26        0         0
#> 145   10.07      1  65        1         0
#> 129   23.41      1  53        1         0
#> 69    23.23      1  25        0         1
#> 60    13.15      1  38        1         0
#> 110   17.56      1  65        0         1
#> 52    10.42      1  52        0         1
#> 107   11.18      1  54        1         0
#> 187    9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 139   21.49      1  63        1         0
#> 88    18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 89    11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 180   14.82      1  37        0         0
#> 90.1  20.94      1  50        0         1
#> 194   22.40      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 32    20.90      1  37        1         0
#> 101    9.97      1  10        0         1
#> 155.1 13.08      1  26        0         0
#> 90.2  20.94      1  50        0         1
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 171   16.57      1  41        0         1
#> 15    22.68      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 150.1 20.33      1  48        0         0
#> 183    9.24      1  67        1         0
#> 184.2 17.77      1  38        0         0
#> 76    19.22      1  54        0         1
#> 43    12.10      1  61        0         1
#> 181   16.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 169.1 22.41      1  46        0         0
#> 68    20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 86    23.81      1  58        0         1
#> 86.1  23.81      1  58        0         1
#> 88.1  18.37      1  47        0         0
#> 128   20.35      1  35        0         1
#> 117   17.46      1  26        0         1
#> 149    8.37      1  33        1         0
#> 32.1  20.90      1  37        1         0
#> 181.1 16.46      1  45        0         1
#> 42    12.43      1  49        0         1
#> 40    18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 39.2  15.59      1  37        0         1
#> 171.1 16.57      1  41        0         1
#> 181.2 16.46      1  45        0         1
#> 188.1 16.16      1  46        0         1
#> 113.2 22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 199.1 19.81      1  NA        0         1
#> 136   21.83      1  43        0         1
#> 13    14.34      1  54        0         1
#> 188.2 16.16      1  46        0         1
#> 86.2  23.81      1  58        0         1
#> 192   16.44      1  31        1         0
#> 78.1  23.88      1  43        0         0
#> 113.3 22.86      1  34        0         0
#> 129.1 23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 55    19.34      1  69        0         1
#> 114.1 13.68      1  NA        0         0
#> 194.1 22.40      1  38        0         1
#> 175   21.91      1  43        0         0
#> 190   20.81      1  42        1         0
#> 184.3 17.77      1  38        0         0
#> 30.1  17.43      1  78        0         0
#> 76.1  19.22      1  54        0         1
#> 111   17.45      1  47        0         1
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 59.1  10.16      1  NA        1         0
#> 181.3 16.46      1  45        0         1
#> 23.1  16.92      1  61        0         0
#> 41    18.02      1  40        1         0
#> 107.1 11.18      1  54        1         0
#> 192.1 16.44      1  31        1         0
#> 23.2  16.92      1  61        0         0
#> 50.1  10.02      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 139.1 21.49      1  63        1         0
#> 139.2 21.49      1  63        1         0
#> 70     7.38      1  30        1         0
#> 10    10.53      1  34        0         0
#> 53    24.00      0  32        0         1
#> 104   24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 34    24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 119   24.00      0  17        0         0
#> 119.1 24.00      0  17        0         0
#> 162   24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 161   24.00      0  45        0         0
#> 74    24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 193.1 24.00      0  45        0         1
#> 121   24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 137   24.00      0  45        1         0
#> 193.2 24.00      0  45        0         1
#> 185   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 64    24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 147   24.00      0  76        1         0
#> 46.1  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 126   24.00      0  48        0         0
#> 142   24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 115.1 24.00      0  NA        1         0
#> 67.1  24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 143   24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 126.1 24.00      0  48        0         0
#> 95    24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 132   24.00      0  55        0         0
#> 95.1  24.00      0  68        0         1
#> 185.1 24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 163   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 112   24.00      0  61        0         0
#> 12    24.00      0  63        0         0
#> 178   24.00      0  52        1         0
#> 141   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 142.1 24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 115.2 24.00      0  NA        1         0
#> 196   24.00      0  19        0         0
#> 75    24.00      0  21        1         0
#> 138   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 185.2 24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 11    24.00      0  42        0         1
#> 144.1 24.00      0  28        0         1
#> 119.2 24.00      0  17        0         0
#> 12.1  24.00      0  63        0         0
#> 185.3 24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 73.1  24.00      0  NA        0         1
#> 104.1 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 46.2  24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 72.1  24.00      0  40        0         1
#> 27.1  24.00      0  63        1         0
#> 34.1  24.00      0  36        0         0
#> 74.1  24.00      0  43        0         1
#> 126.2 24.00      0  48        0         0
#> 176   24.00      0  43        0         1
#> 185.4 24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.429         NA        NA      NA
#> 2 age, Cure model           0.0103        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0921        NA        NA      NA
#> 4 grade_iii, Cure model     0.572         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000718        NA        NA      NA
#> 2 grade_ii, Survival model  0.572           NA        NA      NA
#> 3 grade_iii, Survival model 0.328           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.42888           0.01029          -0.09208           0.57211  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.5 
#> Residual Deviance: 249.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.42888277       0.01029063      -0.09207609       0.57210916 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0007180592     0.5715320486     0.3275310586 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.04729799 0.86918506 0.75389719 0.64754338 0.76189216 0.17543926
#>   [7] 0.59566605 0.53409629 0.01787468 0.93586386 0.67304157 0.23617945
#>  [13] 0.76981578 0.53409629 0.85417826 0.94315697 0.13528794 0.16197365
#>  [19] 0.83916650 0.56912601 0.92128465 0.89923046 0.95762543 0.83916650
#>  [25] 0.31009887 0.49762271 0.44141037 0.17543926 0.83151399 0.46028296
#>  [31] 0.36310797 0.80848505 0.36310797 0.26138533 0.39311425 0.95040215
#>  [37] 0.85417826 0.36310797 0.73015477 0.81617391 0.65614326 0.22317446
#>  [43] 0.76981578 0.44141037 0.96480425 0.53409629 0.47924807 0.89175519
#>  [49] 0.68149729 0.96480425 0.23617945 0.42221259 0.97892874 0.09034519
#>  [55] 0.09034519 0.49762271 0.43185658 0.57802949 0.98599311 0.39311425
#>  [61] 0.68149729 0.88425164 0.52509831 0.34204512 0.76981578 0.65614326
#>  [67] 0.68149729 0.73015477 0.17543926 0.61308591 0.29795751 0.82385974
#>  [73] 0.73015477 0.09034519 0.71401033 0.04729799 0.17543926 0.13528794
#>  [79] 0.79304126 0.62180342 0.87672014 0.46980934 0.26138533 0.28559918
#>  [85] 0.41256153 0.53409629 0.59566605 0.47924807 0.58687660 0.80079422
#>  [91] 0.92128465 0.68149729 0.62180342 0.51597418 0.89923046 0.71401033
#>  [97] 0.62180342 0.34204512 0.31009887 0.31009887 0.99301655 0.91391441
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    78    14   100   106   125   113    30   184    24    93   130   169    39 
#> 23.88 12.89 16.07 16.67 15.65 22.86 17.43 17.77 23.89 10.33 16.47 22.41 15.59 
#> 184.1   155   145   129    69    60   110    52   107   187  60.1   139    88 
#> 17.77 13.08 10.07 23.41 23.23 13.15 17.56 10.42 11.18  9.92 13.15 21.49 18.37 
#>   150 113.1    81   105    90   180  90.1   194    32   101 155.1  90.2   188 
#> 20.33 22.86 14.06 19.75 20.94 14.82 20.94 22.40 20.90  9.97 13.08 20.94 16.16 
#>   133   171    15  39.1 150.1   183 184.2    76    43   181 183.1 169.1    68 
#> 14.65 16.57 22.68 15.59 20.33  9.24 17.77 19.22 12.10 16.46  9.24 22.41 20.62 
#>    16    86  86.1  88.1   128   117   149  32.1 181.1    42    40    36  39.2 
#>  8.71 23.81 23.81 18.37 20.35 17.46  8.37 20.90 16.46 12.43 18.00 21.19 15.59 
#> 171.1 181.2 188.1 113.2    45   136    13 188.2  86.2   192  78.1 113.3 129.1 
#> 16.57 16.46 16.16 22.86 17.42 21.83 14.34 16.16 23.81 16.44 23.88 22.86 23.41 
#>    29    23   177    55 194.1   175   190 184.3  30.1  76.1   111    18  52.1 
#> 15.45 16.92 12.53 19.34 22.40 21.91 20.81 17.77 17.43 19.22 17.45 15.21 10.42 
#> 181.3  23.1    41 107.1 192.1  23.2  36.1 139.1 139.2    70    10    53   104 
#> 16.46 16.92 18.02 11.18 16.44 16.92 21.19 21.49 21.49  7.38 10.53 24.00 24.00 
#>     2    34   174   193   119 119.1   162   109     1   161    74    46 193.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   102   137 193.2   185    21    64   198   147  46.1    67   126   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65  67.1   200    72   143   165 126.1    95   144    98   132  95.1 185.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48    31    84   163   112    12   178   141    94 142.1    20   196    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138    27 185.2   2.1    11 144.1 119.2  12.1 185.3    17 104.1    83     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    28     3 138.1  48.1  95.2  46.2  84.1  72.1  27.1  34.1  74.1 126.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 185.4   120 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[4]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005619827               0.407293565               0.447655993 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.66419280              0.01250875              0.19780965 
#>   grade_iii, Cure model 
#>              0.55401038 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 105   19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 8     18.43      1  32        0         0
#> 86    23.81      1  58        0         1
#> 26    15.77      1  49        0         1
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 107   11.18      1  54        1         0
#> 13    14.34      1  54        0         1
#> 194   22.40      1  38        0         1
#> 139   21.49      1  63        1         0
#> 150.1 20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 66    22.13      1  53        0         0
#> 188   16.16      1  46        0         1
#> 78    23.88      1  43        0         0
#> 23    16.92      1  61        0         0
#> 25     6.32      1  34        1         0
#> 59    10.16      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 149    8.37      1  33        1         0
#> 13.1  14.34      1  54        0         1
#> 63    22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 153   21.33      1  55        1         0
#> 14    12.89      1  21        0         0
#> 25.1   6.32      1  34        1         0
#> 4     17.64      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 49    12.19      1  48        1         0
#> 190   20.81      1  42        1         0
#> 168   23.72      1  70        0         0
#> 77     7.27      1  67        0         1
#> 183    9.24      1  67        1         0
#> 52    10.42      1  52        0         1
#> 23.1  16.92      1  61        0         0
#> 42    12.43      1  49        0         1
#> 145   10.07      1  65        1         0
#> 139.1 21.49      1  63        1         0
#> 18    15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 81    14.06      1  34        0         0
#> 167   15.55      1  56        1         0
#> 88    18.37      1  47        0         0
#> 157   15.10      1  47        0         0
#> 150.2 20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 192   16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 123   13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 76    19.22      1  54        0         1
#> 96    14.54      1  33        0         1
#> 96.1  14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 52.1  10.42      1  52        0         1
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 124    9.73      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 129   23.41      1  53        1         0
#> 114   13.68      1  NA        0         0
#> 106.1 16.67      1  49        1         0
#> 114.1 13.68      1  NA        0         0
#> 4.1   17.64      1  NA        0         1
#> 169   22.41      1  46        0         0
#> 154   12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 93.1  10.33      1  52        0         1
#> 167.1 15.55      1  56        1         0
#> 188.1 16.16      1  46        0         1
#> 159.1 10.55      1  50        0         1
#> 49.1  12.19      1  48        1         0
#> 16     8.71      1  71        0         1
#> 183.1  9.24      1  67        1         0
#> 60    13.15      1  38        1         0
#> 93.2  10.33      1  52        0         1
#> 81.1  14.06      1  34        0         0
#> 166   19.98      1  48        0         0
#> 32    20.90      1  37        1         0
#> 55    19.34      1  69        0         1
#> 167.2 15.55      1  56        1         0
#> 179   18.63      1  42        0         0
#> 55.1  19.34      1  69        0         1
#> 150.3 20.33      1  48        0         0
#> 133   14.65      1  57        0         0
#> 106.2 16.67      1  49        1         0
#> 61.1  10.12      1  36        0         1
#> 167.3 15.55      1  56        1         0
#> 107.1 11.18      1  54        1         0
#> 91     5.33      1  61        0         1
#> 133.1 14.65      1  57        0         0
#> 32.1  20.90      1  37        1         0
#> 76.1  19.22      1  54        0         1
#> 167.4 15.55      1  56        1         0
#> 66.1  22.13      1  53        0         0
#> 49.2  12.19      1  48        1         0
#> 154.1 12.63      1  20        1         0
#> 108   18.29      1  39        0         1
#> 139.2 21.49      1  63        1         0
#> 45.1  17.42      1  54        0         1
#> 69    23.23      1  25        0         1
#> 36.1  21.19      1  48        0         1
#> 105.1 19.75      1  60        0         0
#> 134   17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 88.1  18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 48    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 54    24.00      0  53        1         0
#> 122   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 146.1 24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 62    24.00      0  71        0         0
#> 20    24.00      0  46        1         0
#> 163   24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 71    24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 87    24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 94    24.00      0  51        0         1
#> 120   24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 54.1  24.00      0  53        1         0
#> 62.2  24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 73    24.00      0  NA        0         1
#> 132   24.00      0  55        0         0
#> 186   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 120.2 24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 109   24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 38    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 163.1 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 172.2 24.00      0  41        0         0
#> 2.1   24.00      0   9        0         0
#> 53    24.00      0  32        0         1
#> 163.2 24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 146.2 24.00      0  63        1         0
#> 82    24.00      0  34        0         0
#> 27    24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 53.1  24.00      0  32        0         1
#> 21    24.00      0  47        0         0
#> 2.2   24.00      0   9        0         0
#> 148   24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 28.1  24.00      0  67        1         0
#> 20.1  24.00      0  46        1         0
#> 186.1 24.00      0  45        1         0
#> 53.2  24.00      0  32        0         1
#> 103   24.00      0  56        1         0
#> 185   24.00      0  44        1         0
#> 72    24.00      0  40        0         1
#> 54.2  24.00      0  53        1         0
#> 131   24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 160   24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 38.1  24.00      0  31        1         0
#> 54.3  24.00      0  53        1         0
#> 160.1 24.00      0  31        1         0
#> 47.2  24.00      0  38        0         1
#> 87.1  24.00      0  27        0         0
#> 156   24.00      0  50        1         0
#> 21.1  24.00      0  47        0         0
#> 156.1 24.00      0  50        1         0
#> 75.1  24.00      0  21        1         0
#> 126   24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 27.1  24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 53.3  24.00      0  32        0         1
#> 191   24.00      0  60        0         1
#> 34    24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.664         NA        NA      NA
#> 2 age, Cure model           0.0125        NA        NA      NA
#> 3 grade_ii, Cure model      0.198         NA        NA      NA
#> 4 grade_iii, Cure model     0.554         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00562        NA        NA      NA
#> 2 grade_ii, Survival model   0.407          NA        NA      NA
#> 3 grade_iii, Survival model  0.448          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.66419           0.01251           0.19781           0.55401  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.66419280       0.01250875       0.19780965       0.55401038 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005619827      0.407293565      0.447655993 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.30180817 0.17066106 0.38978591 0.01507993 0.55766793 0.24536275
#>   [7] 0.32145135 0.81495190 0.68157127 0.08048242 0.12184048 0.24536275
#>  [13] 0.45949102 0.09070481 0.53820161 0.00422075 0.47913779 0.97256338
#>  [19] 0.37002025 0.95411727 0.68157127 0.05968822 0.55766793 0.15088423
#>  [25] 0.74871914 0.97256338 0.23592025 0.78686257 0.22655988 0.02542228
#>  [31] 0.96334358 0.92645329 0.85245142 0.47913779 0.77733506 0.91719357
#>  [37] 0.12184048 0.62377918 0.72945648 0.70065598 0.57700740 0.39973743
#>  [43] 0.63340643 0.24536275 0.83373988 0.52830363 0.42962011 0.89875968
#>  [49] 0.73909870 0.44949336 0.35052723 0.66240336 0.66240336 0.11112960
#>  [55] 0.85245142 0.19844236 0.87109417 0.49902127 0.03740476 0.49902127
#>  [61] 0.06990814 0.75835336 0.28228344 0.87109417 0.57700740 0.53820161
#>  [67] 0.83373988 0.78686257 0.94486875 0.92645329 0.71983156 0.87109417
#>  [73] 0.70065598 0.29200721 0.20808641 0.32145135 0.57700740 0.37987605
#>  [79] 0.32145135 0.24536275 0.64306776 0.49902127 0.89875968 0.57700740
#>  [85] 0.81495190 0.99083239 0.64306776 0.20808641 0.35052723 0.57700740
#>  [91] 0.09070481 0.78686257 0.75835336 0.41961982 0.12184048 0.45949102
#>  [97] 0.04899366 0.17066106 0.30180817 0.43957402 0.17066106 0.39973743
#> [103] 0.15088423 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   105    36     8    86    26   150    58   107    13   194   139 150.1    45 
#> 19.75 21.19 18.43 23.81 15.77 20.33 19.34 11.18 14.34 22.40 21.49 20.33 17.42 
#>    66   188    78    23    25    97   149  13.1    63  26.1   153    14  25.1 
#> 22.13 16.16 23.88 16.92  6.32 19.14  8.37 14.34 22.77 15.77 21.33 12.89  6.32 
#>    68    49   190   168    77   183    52  23.1    42   145 139.1    18   155 
#> 20.62 12.19 20.81 23.72  7.27  9.24 10.42 16.92 12.43 10.07 21.49 15.21 13.08 
#>    81   167    88   157 150.2   159   192    41    61   123    30    76    96 
#> 14.06 15.55 18.37 15.10 20.33 10.55 16.44 18.02 10.12 13.00 17.43 19.22 14.54 
#>  96.1   197  52.1    90    93   106   129 106.1   169   154   158  93.1 167.1 
#> 14.54 21.60 10.42 20.94 10.33 16.67 23.41 16.67 22.41 12.63 20.14 10.33 15.55 
#> 188.1 159.1  49.1    16 183.1    60  93.2  81.1   166    32    55 167.2   179 
#> 16.16 10.55 12.19  8.71  9.24 13.15 10.33 14.06 19.98 20.90 19.34 15.55 18.63 
#>  55.1 150.3   133 106.2  61.1 167.3 107.1    91 133.1  32.1  76.1 167.4  66.1 
#> 19.34 20.33 14.65 16.67 10.12 15.55 11.18  5.33 14.65 20.90 19.22 15.55 22.13 
#>  49.2 154.1   108 139.2  45.1    69  36.1 105.1   134    99  88.1 153.1    48 
#> 12.19 12.63 18.29 21.49 17.42 23.23 21.19 19.75 17.81 21.19 18.37 21.33 24.00 
#>   198    54   122   146    46   173 146.1    47    22    62    20   163  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   121   172    31     2    71   119    87    84    94   120   174  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2 120.1     3    28   132   186   118  22.1 120.2    75   109 172.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95 163.1    74 172.2   2.1    53 163.2    80 146.2    82    27  47.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   2.2   148   152  28.1  20.1 186.1  53.2   103   185    72  54.2   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12   160   165  38.1  54.3 160.1  47.2  87.1   156  21.1 156.1  75.1   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1  72.1  27.1    19  53.3   191    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[5]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01016881                0.89541364                0.53576940 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.639789983             0.004486776             0.396017645 
#>   grade_iii, Cure model 
#>             1.593315767 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 70     7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 90.1  20.94      1  50        0         1
#> 108   18.29      1  39        0         1
#> 145   10.07      1  65        1         0
#> 51    18.23      1  83        0         1
#> 37    12.52      1  57        1         0
#> 61    10.12      1  36        0         1
#> 5     16.43      1  51        0         1
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 92    22.92      1  47        0         1
#> 60.1  13.15      1  38        1         0
#> 56    12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 60.2  13.15      1  38        1         0
#> 169   22.41      1  46        0         0
#> 166   19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 190   20.81      1  42        1         0
#> 145.1 10.07      1  65        1         0
#> 123   13.00      1  44        1         0
#> 66    22.13      1  53        0         0
#> 183    9.24      1  67        1         0
#> 43    12.10      1  61        0         1
#> 66.1  22.13      1  53        0         0
#> 96.1  14.54      1  33        0         1
#> 96.2  14.54      1  33        0         1
#> 192   16.44      1  31        1         0
#> 136   21.83      1  43        0         1
#> 195   11.76      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 23    16.92      1  61        0         0
#> 159   10.55      1  50        0         1
#> 42.1  12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 36    21.19      1  48        0         1
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 153   21.33      1  55        1         0
#> 123.1 13.00      1  44        1         0
#> 88.1  18.37      1  47        0         0
#> 13    14.34      1  54        0         1
#> 188   16.16      1  46        0         1
#> 169.1 22.41      1  46        0         0
#> 175   21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 41    18.02      1  40        1         0
#> 190.1 20.81      1  42        1         0
#> 140.1 12.68      1  59        1         0
#> 106   16.67      1  49        1         0
#> 188.1 16.16      1  46        0         1
#> 192.1 16.44      1  31        1         0
#> 155   13.08      1  26        0         0
#> 79.1  16.23      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 88.2  18.37      1  47        0         0
#> 175.1 21.91      1  43        0         0
#> 8     18.43      1  32        0         0
#> 92.1  22.92      1  47        0         1
#> 175.2 21.91      1  43        0         0
#> 10    10.53      1  34        0         0
#> 40    18.00      1  28        1         0
#> 187    9.92      1  39        1         0
#> 134   17.81      1  47        1         0
#> 58    19.34      1  39        0         0
#> 136.1 21.83      1  43        0         1
#> 134.1 17.81      1  47        1         0
#> 41.1  18.02      1  40        1         0
#> 10.1  10.53      1  34        0         0
#> 37.1  12.52      1  57        1         0
#> 171   16.57      1  41        0         1
#> 159.1 10.55      1  50        0         1
#> 159.2 10.55      1  50        0         1
#> 13.1  14.34      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 183.1  9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 26.1  15.77      1  49        0         1
#> 77.1   7.27      1  67        0         1
#> 150   20.33      1  48        0         0
#> 36.1  21.19      1  48        0         1
#> 175.3 21.91      1  43        0         0
#> 8.1   18.43      1  32        0         0
#> 91     5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 101.1  9.97      1  10        0         1
#> 51.1  18.23      1  83        0         1
#> 110   17.56      1  65        0         1
#> 181   16.46      1  45        0         1
#> 49    12.19      1  48        1         0
#> 59    10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 159.3 10.55      1  50        0         1
#> 153.1 21.33      1  55        1         0
#> 49.1  12.19      1  48        1         0
#> 97.1  19.14      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 89.2  11.44      1  NA        0         0
#> 8.2   18.43      1  32        0         0
#> 171.1 16.57      1  41        0         1
#> 139.1 21.49      1  63        1         0
#> 174   24.00      0  49        1         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 67    24.00      0  25        0         0
#> 54    24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 73    24.00      0  NA        0         1
#> 75    24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 21.1  24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 22    24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 28    24.00      0  67        1         0
#> 19    24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 186   24.00      0  45        1         0
#> 75.1  24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 137   24.00      0  45        1         0
#> 28.1  24.00      0  67        1         0
#> 118   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 144   24.00      0  28        0         1
#> 151   24.00      0  42        0         0
#> 172   24.00      0  41        0         0
#> 200.1 24.00      0  64        0         0
#> 103   24.00      0  56        1         0
#> 34.1  24.00      0  36        0         0
#> 11    24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 196.1 24.00      0  19        0         0
#> 147.1 24.00      0  76        1         0
#> 98    24.00      0  34        1         0
#> 9     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 73.1  24.00      0  NA        0         1
#> 102   24.00      0  49        0         0
#> 7     24.00      0  37        1         0
#> 34.2  24.00      0  36        0         0
#> 131   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 160   24.00      0  31        1         0
#> 12.1  24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 94.1  24.00      0  51        0         1
#> 141.1 24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 148   24.00      0  61        1         0
#> 185   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 151.2 24.00      0  42        0         0
#> 198.1 24.00      0  66        0         1
#> 98.1  24.00      0  34        1         0
#> 47.1  24.00      0  38        0         1
#> 28.2  24.00      0  67        1         0
#> 98.2  24.00      0  34        1         0
#> 193   24.00      0  45        0         1
#> 109.1 24.00      0  48        0         0
#> 146   24.00      0  63        1         0
#> 165   24.00      0  47        0         0
#> 174.2 24.00      0  49        1         0
#> 1.1   24.00      0  23        1         0
#> 172.2 24.00      0  41        0         0
#> 72.1  24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 73.2  24.00      0  NA        0         1
#> 200.2 24.00      0  64        0         0
#> 87    24.00      0  27        0         0
#> 46    24.00      0  71        0         0
#> 148.1 24.00      0  61        1         0
#> 83    24.00      0   6        0         0
#> 102.1 24.00      0  49        0         0
#> 121   24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 141.2 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.640          NA        NA      NA
#> 2 age, Cure model          0.00449        NA        NA      NA
#> 3 grade_ii, Cure model     0.396          NA        NA      NA
#> 4 grade_iii, Cure model    1.59           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0102        NA        NA      NA
#> 2 grade_ii, Survival model    0.895         NA        NA      NA
#> 3 grade_iii, Survival model   0.536         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.639790          0.004487          0.396018          1.593316  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 239.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.639789983      0.004486776      0.396017645      1.593315767 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01016881       0.89541364       0.53576940 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.783941451 0.964652005 0.193401900 0.336235911 0.193401900 0.368454520
#>   [7] 0.901953178 0.379473834 0.765675102 0.892804352 0.566307101 0.682363218
#>  [13] 0.634563812 0.014859798 0.682363218 0.802191571 0.738094972 0.682363218
#>  [19] 0.028527550 0.243476856 0.973491393 0.213948637 0.901953178 0.719628335
#>  [25] 0.045327272 0.946924124 0.829557776 0.045327272 0.634563812 0.634563812
#>  [31] 0.546558116 0.107144871 0.453784829 0.484904307 0.838686267 0.783941451
#>  [37] 0.526023168 0.172796644 0.576266189 0.920061482 0.152073853 0.719628335
#>  [43] 0.336235911 0.663155214 0.595736259 0.028527550 0.065266049 0.253735259
#>  [49] 0.274297810 0.401527555 0.213948637 0.738094972 0.495342338 0.595736259
#>  [55] 0.546558116 0.710197361 0.576266189 0.336235911 0.065266049 0.305150371
#>  [61] 0.014859798 0.065266049 0.874566067 0.422843984 0.937978133 0.433412919
#>  [67] 0.263950966 0.107144871 0.433412919 0.401527555 0.874566067 0.765675102
#>  [73] 0.505674228 0.838686267 0.838686267 0.663155214 0.284649877 0.615161714
#>  [79] 0.946924124 0.756404182 0.615161714 0.973491393 0.233382744 0.172796644
#>  [85] 0.065266049 0.305150371 0.991133111 0.005171445 0.920061482 0.379473834
#>  [91] 0.464163276 0.536298630 0.811417336 0.130165231 0.474569113 0.838686267
#>  [97] 0.152073853 0.811417336 0.284649877 0.305150371 0.505674228 0.130165231
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>    42    70    90    88  90.1   108   145    51    37    61     5    60    96 
#> 12.43  7.38 20.94 18.37 20.94 18.29 10.07 18.23 12.52 10.12 16.43 13.15 14.54 
#>    92  60.1    56   140  60.2   169   166    77   190 145.1   123    66   183 
#> 22.92 13.15 12.21 12.68 13.15 22.41 19.98  7.27 20.81 10.07 13.00 22.13  9.24 
#>    43  66.1  96.1  96.2   192   136   184    23   159  42.1   130    36    79 
#> 12.10 22.13 14.54 14.54 16.44 21.83 17.77 16.92 10.55 12.43 16.47 21.19 16.23 
#>   101   153 123.1  88.1    13   188 169.1   175   170    76    41 190.1 140.1 
#>  9.97 21.33 13.00 18.37 14.34 16.16 22.41 21.91 19.54 19.22 18.02 20.81 12.68 
#>   106 188.1 192.1   155  79.1  88.2 175.1     8  92.1 175.2    10    40   187 
#> 16.67 16.16 16.44 13.08 16.23 18.37 21.91 18.43 22.92 21.91 10.53 18.00  9.92 
#>   134    58 136.1 134.1  41.1  10.1  37.1   171 159.1 159.2  13.1    97    26 
#> 17.81 19.34 21.83 17.81 18.02 10.53 12.52 16.57 10.55 10.55 14.34 19.14 15.77 
#> 183.1   177  26.1  77.1   150  36.1 175.3   8.1    91    86 101.1  51.1   110 
#>  9.24 12.53 15.77  7.27 20.33 21.19 21.91 18.43  5.33 23.81  9.97 18.23 17.56 
#>   181    49   139   117 159.3 153.1  49.1  97.1   8.2 171.1 139.1   174    21 
#> 16.46 12.19 21.49 17.46 10.55 21.33 12.19 19.14 18.43 16.57 21.49 24.00 24.00 
#>    72    67    54   163   141 174.1    75    44  21.1    84    22   198    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   147   186  75.1    38    34   200   137  28.1   118   109     1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144   151   172 200.1   103  34.1    11    47    65    12 172.1 151.1 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1    98     9   143   102     7  34.2   131   132   160  12.1    94  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1    53   148   185    33 151.2 198.1  98.1  47.1  28.2  98.2   193 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   165 174.2   1.1 172.2  72.1    80 200.2    87    46 148.1    83 102.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   122    35  44.1 141.2 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[6]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005618887               0.681939416               0.385878864 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.21631853              0.02222606              0.40376135 
#>   grade_iii, Cure model 
#>              0.82537701 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 85    16.44      1  36        0         0
#> 184   17.77      1  38        0         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 105   19.75      1  60        0         0
#> 107   11.18      1  54        1         0
#> 68    20.62      1  44        0         0
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 77     7.27      1  67        0         1
#> 180   14.82      1  37        0         0
#> 164   23.60      1  76        0         1
#> 188   16.16      1  46        0         1
#> 58    19.34      1  39        0         0
#> 192   16.44      1  31        1         0
#> 105.1 19.75      1  60        0         0
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 40    18.00      1  28        1         0
#> 157   15.10      1  47        0         0
#> 100   16.07      1  60        0         0
#> 49    12.19      1  48        1         0
#> 183    9.24      1  67        1         0
#> 59    10.16      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 61.1  10.12      1  36        0         1
#> 26    15.77      1  49        0         1
#> 96    14.54      1  33        0         1
#> 199   19.81      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 49.1  12.19      1  48        1         0
#> 100.1 16.07      1  60        0         0
#> 169   22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 42    12.43      1  49        0         1
#> 24    23.89      1  38        0         0
#> 30    17.43      1  78        0         0
#> 29    15.45      1  68        1         0
#> 101    9.97      1  10        0         1
#> 158   20.14      1  74        1         0
#> 127    3.53      1  62        0         1
#> 63    22.77      1  31        1         0
#> 114   13.68      1  NA        0         0
#> 123   13.00      1  44        1         0
#> 36    21.19      1  48        0         1
#> 85.1  16.44      1  36        0         0
#> 51.1  18.23      1  83        0         1
#> 26.1  15.77      1  49        0         1
#> 113   22.86      1  34        0         0
#> 101.1  9.97      1  10        0         1
#> 140.1 12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 199.1 19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 168   23.72      1  70        0         0
#> 149    8.37      1  33        1         0
#> 124    9.73      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 76.1  19.22      1  54        0         1
#> 8     18.43      1  32        0         0
#> 66    22.13      1  53        0         0
#> 113.1 22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 158.1 20.14      1  74        1         0
#> 194   22.40      1  38        0         1
#> 106   16.67      1  49        1         0
#> 93    10.33      1  52        0         1
#> 57    14.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 183.1  9.24      1  67        1         0
#> 6.1   15.64      1  39        0         0
#> 171   16.57      1  41        0         1
#> 130   16.47      1  53        0         1
#> 139   21.49      1  63        1         0
#> 89    11.44      1  NA        0         0
#> 158.2 20.14      1  74        1         0
#> 149.1  8.37      1  33        1         0
#> 197   21.60      1  69        1         0
#> 36.1  21.19      1  48        0         1
#> 52    10.42      1  52        0         1
#> 14    12.89      1  21        0         0
#> 127.1  3.53      1  62        0         1
#> 68.1  20.62      1  44        0         0
#> 169.1 22.41      1  46        0         0
#> 92    22.92      1  47        0         1
#> 37    12.52      1  57        1         0
#> 10    10.53      1  34        0         0
#> 86    23.81      1  58        0         1
#> 113.2 22.86      1  34        0         0
#> 23    16.92      1  61        0         0
#> 57.1  14.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 41    18.02      1  40        1         0
#> 183.2  9.24      1  67        1         0
#> 145   10.07      1  65        1         0
#> 155   13.08      1  26        0         0
#> 117   17.46      1  26        0         1
#> 145.1 10.07      1  65        1         0
#> 10.1  10.53      1  34        0         0
#> 136   21.83      1  43        0         1
#> 92.1  22.92      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 6.2   15.64      1  39        0         0
#> 130.1 16.47      1  53        0         1
#> 16.1   8.71      1  71        0         1
#> 40.1  18.00      1  28        1         0
#> 197.1 21.60      1  69        1         0
#> 175   21.91      1  43        0         0
#> 169.2 22.41      1  46        0         0
#> 192.1 16.44      1  31        1         0
#> 76.2  19.22      1  54        0         1
#> 71    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 47    24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 71.1  24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 28    24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 80.1  24.00      0  41        0         0
#> 109   24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 28.1  24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 162   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 200   24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 165.1 24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 53    24.00      0  32        0         1
#> 165.2 24.00      0  47        0         0
#> 165.3 24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 48.1  24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 53.1  24.00      0  32        0         1
#> 162.1 24.00      0  51        0         0
#> 75.1  24.00      0  21        1         0
#> 65.1  24.00      0  57        1         0
#> 161.1 24.00      0  45        0         0
#> 103.1 24.00      0  56        1         0
#> 20    24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 118   24.00      0  44        1         0
#> 144   24.00      0  28        0         1
#> 151.2 24.00      0  42        0         0
#> 67.1  24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 74.1  24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 3     24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 182   24.00      0  35        0         0
#> 3.1   24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 87    24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 104   24.00      0  50        1         0
#> 191.1 24.00      0  60        0         1
#> 48.2  24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 47.1  24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 182.1 24.00      0  35        0         0
#> 109.1 24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 162.2 24.00      0  51        0         0
#> 64.1  24.00      0  43        0         0
#> 38.1  24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 33    24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 38.2  24.00      0  31        1         0
#> 74.2  24.00      0  43        0         1
#> 191.2 24.00      0  60        0         1
#> 98    24.00      0  34        1         0
#> 82    24.00      0  34        0         0
#> 161.2 24.00      0  45        0         0
#> 131.1 24.00      0  66        0         0
#> 131.2 24.00      0  66        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.22          NA        NA      NA
#> 2 age, Cure model           0.0222        NA        NA      NA
#> 3 grade_ii, Cure model      0.404         NA        NA      NA
#> 4 grade_iii, Cure model     0.825         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00562        NA        NA      NA
#> 2 grade_ii, Survival model   0.682          NA        NA      NA
#> 3 grade_iii, Survival model  0.386          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.21632           0.02223           0.40376           0.82538  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 252.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.21631853       0.02222606       0.40376135       0.82537701 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005618887      0.681939416      0.385878864 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.53146209 0.44562188 0.35813442 0.85253388 0.32848699 0.80770093
#>   [7] 0.25991179 0.61421699 0.93138003 0.97441718 0.67936232 0.03722415
#>  [13] 0.56779654 0.34811939 0.53146209 0.32848699 0.39710962 0.28983464
#>  [19] 0.42672453 0.67004961 0.57708595 0.78977933 0.90549647 0.23975246
#>  [25] 0.85253388 0.59568526 0.68869905 0.74418087 0.78977933 0.57708595
#>  [31] 0.11153913 0.24994628 0.78066096 0.00426747 0.46474855 0.66076684
#>  [37] 0.88797776 0.29996356 0.98297337 0.10082590 0.72571996 0.21928206
#>  [43] 0.53146209 0.39710962 0.59568526 0.07006185 0.88797776 0.74418087
#>  [49] 0.96586028 0.65143826 0.02512674 0.94872086 0.76235194 0.35813442
#>  [55] 0.38714519 0.15361752 0.07006185 0.47435462 0.29996356 0.14257699
#>  [61] 0.49358885 0.84355446 0.69800778 0.64205001 0.90549647 0.61421699
#>  [67] 0.50314007 0.51266089 0.20867191 0.29996356 0.94872086 0.18758616
#>  [73] 0.21928206 0.83456564 0.73494396 0.98297337 0.25991179 0.11153913
#>  [79] 0.04951829 0.77153011 0.81666598 0.01471764 0.07006185 0.48394401
#>  [85] 0.69800778 0.27978874 0.41686434 0.90549647 0.87032304 0.71643167
#>  [91] 0.45521243 0.87032304 0.81666598 0.17628301 0.04951829 0.61421699
#>  [97] 0.51266089 0.93138003 0.42672453 0.18758616 0.16486655 0.11153913
#> [103] 0.53146209 0.35813442 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    85   184    76    61   105   107    68     6    16    77   180   164   188 
#> 16.44 17.77 19.22 10.12 19.75 11.18 20.62 15.64  8.71  7.27 14.82 23.60 16.16 
#>    58   192 105.1    51   150    40   157   100    49   183    32  61.1    26 
#> 19.34 16.44 19.75 18.23 20.33 18.00 15.10 16.07 12.19  9.24 20.90 10.12 15.77 
#>    96   140  49.1 100.1   169   190    42    24    30    29   101   158   127 
#> 14.54 12.68 12.19 16.07 22.41 20.81 12.43 23.89 17.43 15.45  9.97 20.14  3.53 
#>    63   123    36  85.1  51.1  26.1   113 101.1 140.1    70   167   168   149 
#> 22.77 13.00 21.19 16.44 18.23 15.77 22.86  9.97 12.68  7.38 15.55 23.72  8.37 
#>   177  76.1     8    66 113.1    45 158.1   194   106    93    57    39 183.1 
#> 12.53 19.22 18.43 22.13 22.86 17.42 20.14 22.40 16.67 10.33 14.46 15.59  9.24 
#>   6.1   171   130   139 158.2 149.1   197  36.1    52    14 127.1  68.1 169.1 
#> 15.64 16.57 16.47 21.49 20.14  8.37 21.60 21.19 10.42 12.89  3.53 20.62 22.41 
#>    92    37    10    86 113.2    23  57.1   128    41 183.2   145   155   117 
#> 22.92 12.52 10.53 23.81 22.86 16.92 14.46 20.35 18.02  9.24 10.07 13.08 17.46 
#> 145.1  10.1   136  92.1   6.2 130.1  16.1  40.1 197.1   175 169.2 192.1  76.2 
#> 10.07 10.53 21.83 22.92 15.64 16.47  8.71 18.00 21.60 21.91 22.41 16.44 19.22 
#>    71   151    47   131    84  71.1   119    28   156   148    48    35    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  80.1   109    74  28.1   135   162   161   200    65 165.1   103    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    38     9 151.1    53 165.2 165.3   178  48.1   193   143   191  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1  75.1  65.1 161.1 103.1    20    67   118   144 151.2  67.1   163  74.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    64     3   172   126    83   182   3.1  84.1    87    11   104 191.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.2   198  47.1    46 182.1 109.1    72    31 162.2  64.1  38.1   152    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1  38.2  74.2 191.2    98    82 161.2 131.1 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[7]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001439673               0.792027491               0.482593500 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.659496554             0.001593928             0.642704347 
#>   grade_iii, Cure model 
#>             1.519519386 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 90.1  20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 189   10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 42    12.43      1  49        0         1
#> 56    12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 106   16.67      1  49        1         0
#> 16     8.71      1  71        0         1
#> 32    20.90      1  37        1         0
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 79    16.23      1  54        1         0
#> 105   19.75      1  60        0         0
#> 106.1 16.67      1  49        1         0
#> 56.1  12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 111   17.45      1  47        0         1
#> 117   17.46      1  26        0         1
#> 51    18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 101    9.97      1  10        0         1
#> 45    17.42      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 106.2 16.67      1  49        1         0
#> 127    3.53      1  62        0         1
#> 187    9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 85    16.44      1  36        0         0
#> 194   22.40      1  38        0         1
#> 56.2  12.21      1  60        0         0
#> 78    23.88      1  43        0         0
#> 129.1 23.41      1  53        1         0
#> 40    18.00      1  28        1         0
#> 175   21.91      1  43        0         0
#> 79.1  16.23      1  54        1         0
#> 60    13.15      1  38        1         0
#> 29    15.45      1  68        1         0
#> 124    9.73      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 183    9.24      1  67        1         0
#> 181   16.46      1  45        0         1
#> 49.1  12.19      1  48        1         0
#> 50.1  10.02      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 166   19.98      1  48        0         0
#> 199.1 19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 181.1 16.46      1  45        0         1
#> 25     6.32      1  34        1         0
#> 66    22.13      1  53        0         0
#> 127.1  3.53      1  62        0         1
#> 50.2  10.02      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 108   18.29      1  39        0         1
#> 125   15.65      1  67        1         0
#> 184   17.77      1  38        0         0
#> 91     5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 70     7.38      1  30        1         0
#> 16.1   8.71      1  71        0         1
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 76    19.22      1  54        0         1
#> 50.3  10.02      1  NA        1         0
#> 97    19.14      1  65        0         1
#> 168   23.72      1  70        0         0
#> 128.1 20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 181.2 16.46      1  45        0         1
#> 125.1 15.65      1  67        1         0
#> 14    12.89      1  21        0         0
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 37    12.52      1  57        1         0
#> 183.1  9.24      1  67        1         0
#> 114   13.68      1  NA        0         0
#> 170.1 19.54      1  43        0         1
#> 70.1   7.38      1  30        1         0
#> 59    10.16      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 77.1   7.27      1  67        0         1
#> 192.1 16.44      1  31        1         0
#> 184.1 17.77      1  38        0         0
#> 92    22.92      1  47        0         1
#> 49.2  12.19      1  48        1         0
#> 43    12.10      1  61        0         1
#> 60.1  13.15      1  38        1         0
#> 199.2 19.81      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 29.2  15.45      1  68        1         0
#> 139   21.49      1  63        1         0
#> 199.3 19.81      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 111.1 17.45      1  47        0         1
#> 14.1  12.89      1  21        0         0
#> 50.4  10.02      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 70.2   7.38      1  30        1         0
#> 154.1 12.63      1  20        1         0
#> 26    15.77      1  49        0         1
#> 90.2  20.94      1  50        0         1
#> 100   16.07      1  60        0         0
#> 4     17.64      1  NA        0         1
#> 45.2  17.42      1  54        0         1
#> 71    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 95    24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 12    24.00      0  63        0         0
#> 98    24.00      0  34        1         0
#> 2     24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 95.1  24.00      0  68        0         1
#> 182   24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 3     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 109   24.00      0  48        0         0
#> 87    24.00      0  27        0         0
#> 172   24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 20    24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 116   24.00      0  58        0         1
#> 35    24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 116.1 24.00      0  58        0         1
#> 193.1 24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 162   24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 186.1 24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 126   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 71.1  24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 182.1 24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 48    24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 172.2 24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 80    24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 48.1  24.00      0  31        1         0
#> 80.1  24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 176.1 24.00      0  43        0         1
#> 20.1  24.00      0  46        1         0
#> 62.1  24.00      0  71        0         0
#> 21    24.00      0  47        0         0
#> 198.1 24.00      0  66        0         1
#> 9     24.00      0  31        1         0
#> 160.1 24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 119   24.00      0  17        0         0
#> 82    24.00      0  34        0         0
#> 1.1   24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 62.2  24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 178.1 24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 147.1 24.00      0  76        1         0
#> 95.2  24.00      0  68        0         1
#> 162.1 24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 137   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 135.1 24.00      0  58        1         0
#> 176.2 24.00      0  43        0         1
#> 103   24.00      0  56        1         0
#> 198.2 24.00      0  66        0         1
#> 141   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 62.3  24.00      0  71        0         0
#> 82.1  24.00      0  34        0         0
#> 122.1 24.00      0  66        0         0
#> 115.1 24.00      0  NA        1         0
#> 48.2  24.00      0  31        1         0
#> 160.2 24.00      0  31        1         0
#> 87.1  24.00      0  27        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.659          NA        NA      NA
#> 2 age, Cure model          0.00159        NA        NA      NA
#> 3 grade_ii, Cure model     0.643          NA        NA      NA
#> 4 grade_iii, Cure model    1.52           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00144        NA        NA      NA
#> 2 grade_ii, Survival model   0.792          NA        NA      NA
#> 3 grade_iii, Survival model  0.483          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.659497          0.001594          0.642704          1.519519  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 237.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.659496554      0.001593928      0.642704347      1.519519386 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001439673      0.792027491      0.482593500 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.23730122 0.23730122 0.08676863 0.79243585 0.82215003 0.82946971
#>   [7] 0.85128293 0.55721324 0.92803694 0.27600245 0.73052863 0.65631217
#>  [13] 0.33826734 0.55721324 0.82946971 0.64753581 0.50745747 0.49695609
#>  [19] 0.43206864 0.45437023 0.22231945 0.73843758 0.89373134 0.52781428
#>  [25] 0.87962798 0.55721324 0.98716356 0.90759326 0.89373134 0.62138525
#>  [31] 0.15660511 0.82946971 0.01741122 0.08676863 0.44337652 0.18995481
#>  [37] 0.65631217 0.76195494 0.70678890 0.70678890 0.91449337 0.59441298
#>  [43] 0.85128293 0.52781428 0.32592483 0.30176721 0.59441298 0.97418285
#>  [49] 0.17322042 0.98716356 0.39743105 0.42062972 0.69031497 0.46508819
#>  [55] 0.98068360 0.35064727 0.75412695 0.62138525 0.94148965 0.92803694
#>  [61] 0.88670800 0.58505924 0.37411948 0.38585895 0.05044971 0.30176721
#>  [67] 0.96112903 0.59441298 0.69031497 0.77719094 0.80001996 0.48632880
#>  [73] 0.81479697 0.91449337 0.35064727 0.94148965 0.28886715 0.96112903
#>  [79] 0.62138525 0.46508819 0.12153521 0.85128293 0.87251917 0.76195494
#>  [85] 0.74630284 0.70678890 0.20677907 0.40902296 0.50745747 0.77719094
#>  [91] 0.13899493 0.94148965 0.80001996 0.68182343 0.23730122 0.67327761
#>  [97] 0.52781428 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    90  90.1   129   140    42    56    49   106    16    32    18    79   105 
#> 20.94 20.94 23.41 12.68 12.43 12.21 12.19 16.67  8.71 20.90 15.21 16.23 19.75 
#> 106.1  56.1     5   111   117    51   134    99    57   101    45    52 106.2 
#> 16.67 12.21 16.43 17.45 17.46 18.23 17.81 21.19 14.46  9.97 17.42 10.42 16.67 
#>   127   187 101.1    85   194  56.2    78 129.1    40   175  79.1    60    29 
#>  3.53  9.92  9.97 16.44 22.40 12.21 23.88 23.41 18.00 21.91 16.23 13.15 15.45 
#>  29.1   183   181  49.1  45.1   166   128 181.1    25    66 127.1   179   108 
#> 15.45  9.24 16.46 12.19 17.42 19.98 20.35 16.46  6.32 22.13  3.53 18.63 18.29 
#>   125   184    91   170    81   192    70  16.1   145   171    76    97   168 
#> 15.65 17.77  5.33 19.54 14.06 16.44  7.38  8.71 10.07 16.57 19.22 19.14 23.72 
#> 128.1    77 181.2 125.1    14   154   110    37 183.1 170.1  70.1    68  77.1 
#> 20.35  7.27 16.46 15.65 12.89 12.63 17.56 12.52  9.24 19.54  7.38 20.62  7.27 
#> 192.1 184.1    92  49.2    43  60.1    13  29.2   139     8 111.1  14.1    15 
#> 16.44 17.77 22.92 12.19 12.10 13.15 14.34 15.45 21.49 18.43 17.45 12.89 22.68 
#>  70.2 154.1    26  90.2   100  45.2    71    44    95   198    12    98     2 
#>  7.38 12.63 15.77 20.94 16.07 17.42 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196  95.1   182   102     3   193   109    87   172    83    20   160   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    35   176   200   178 116.1 193.1   147   162 172.1  35.1 186.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    72  71.1    54    27   174 182.1    62    48    65 172.2   148    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152     7  48.1  80.1    94     1 176.1  20.1  62.1    21 198.1     9 160.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   119    82   1.1   138   135  62.2   143 178.1   2.1 147.1  95.2 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1   137   122 135.1 176.2   103 198.2   141  62.3  82.1 122.1  48.2 160.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[8]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008527699               0.603936881               0.489038774 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.87743654              0.01495671              0.19480614 
#>   grade_iii, Cure model 
#>              0.82683636 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 171   16.57      1  41        0         1
#> 129   23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 37    12.52      1  57        1         0
#> 78    23.88      1  43        0         0
#> 10    10.53      1  34        0         0
#> 134   17.81      1  47        1         0
#> 56    12.21      1  60        0         0
#> 45    17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 127    3.53      1  62        0         1
#> 117   17.46      1  26        0         1
#> 149    8.37      1  33        1         0
#> 159   10.55      1  50        0         1
#> 66    22.13      1  53        0         0
#> 77.1   7.27      1  67        0         1
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 184   17.77      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 167   15.55      1  56        1         0
#> 124    9.73      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 199   19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 107   11.18      1  54        1         0
#> 166   19.98      1  48        0         0
#> 8     18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 59    10.16      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 199.1 19.81      1  NA        0         1
#> 167.1 15.55      1  56        1         0
#> 49    12.19      1  48        1         0
#> 96    14.54      1  33        0         1
#> 56.1  12.21      1  60        0         0
#> 177   12.53      1  75        0         0
#> 100   16.07      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 187    9.92      1  39        1         0
#> 145   10.07      1  65        1         0
#> 167.2 15.55      1  56        1         0
#> 169   22.41      1  46        0         0
#> 189.1 10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 77.2   7.27      1  67        0         1
#> 99    21.19      1  38        0         1
#> 8.1   18.43      1  32        0         0
#> 55    19.34      1  69        0         1
#> 15.1  22.68      1  48        0         0
#> 78.1  23.88      1  43        0         0
#> 15.2  22.68      1  48        0         0
#> 8.2   18.43      1  32        0         0
#> 86    23.81      1  58        0         1
#> 60.1  13.15      1  38        1         0
#> 159.1 10.55      1  50        0         1
#> 56.2  12.21      1  60        0         0
#> 30    17.43      1  78        0         0
#> 180   14.82      1  37        0         0
#> 14.1  12.89      1  21        0         0
#> 66.1  22.13      1  53        0         0
#> 23    16.92      1  61        0         0
#> 159.2 10.55      1  50        0         1
#> 66.2  22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 69    23.23      1  25        0         1
#> 171.1 16.57      1  41        0         1
#> 25     6.32      1  34        1         0
#> 16     8.71      1  71        0         1
#> 124.1  9.73      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 23.1  16.92      1  61        0         0
#> 85    16.44      1  36        0         0
#> 199.2 19.81      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 158   20.14      1  74        1         0
#> 23.2  16.92      1  61        0         0
#> 117.1 17.46      1  26        0         1
#> 16.1   8.71      1  71        0         1
#> 55.1  19.34      1  69        0         1
#> 189.2 10.51      1  NA        1         0
#> 69.1  23.23      1  25        0         1
#> 68    20.62      1  44        0         0
#> 114   13.68      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 159.3 10.55      1  50        0         1
#> 5     16.43      1  51        0         1
#> 41    18.02      1  40        1         0
#> 117.2 17.46      1  26        0         1
#> 125   15.65      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 181   16.46      1  45        0         1
#> 169.1 22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 168   23.72      1  70        0         0
#> 76    19.22      1  54        0         1
#> 89.1  11.44      1  NA        0         0
#> 60.2  13.15      1  38        1         0
#> 69.2  23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 158.1 20.14      1  74        1         0
#> 199.3 19.81      1  NA        0         1
#> 177.1 12.53      1  75        0         0
#> 158.2 20.14      1  74        1         0
#> 113   22.86      1  34        0         0
#> 18    15.21      1  49        1         0
#> 170   19.54      1  43        0         1
#> 130.1 16.47      1  53        0         1
#> 71    24.00      0  51        0         0
#> 138   24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 132   24.00      0  55        0         0
#> 17    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 71.2  24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 3     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 82    24.00      0  34        0         0
#> 48    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 82.1  24.00      0  34        0         0
#> 131.1 24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 9     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 182   24.00      0  35        0         0
#> 147   24.00      0  76        1         0
#> 82.2  24.00      0  34        0         0
#> 82.3  24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 98.1  24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 109.1 24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 98.2  24.00      0  34        1         0
#> 73    24.00      0  NA        0         1
#> 156   24.00      0  50        1         0
#> 193   24.00      0  45        0         1
#> 112   24.00      0  61        0         0
#> 104.1 24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 144   24.00      0  28        0         1
#> 71.3  24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 27    24.00      0  63        1         0
#> 138.1 24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 47    24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 142   24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 135   24.00      0  58        1         0
#> 162.1 24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 143.1 24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 44.1  24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 165   24.00      0  47        0         0
#> 178.1 24.00      0  52        1         0
#> 80.1  24.00      0  41        0         0
#> 185   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 196   24.00      0  19        0         0
#> 176   24.00      0  43        0         1
#> 165.1 24.00      0  47        0         0
#> 82.4  24.00      0  34        0         0
#> 72    24.00      0  40        0         1
#> 72.1  24.00      0  40        0         1
#> 17.1  24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 152.1 24.00      0  36        0         1
#> 135.1 24.00      0  58        1         0
#> 12    24.00      0  63        0         0
#> 7.1   24.00      0  37        1         0
#> 54    24.00      0  53        1         0
#> 102   24.00      0  49        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.877         NA        NA      NA
#> 2 age, Cure model           0.0150        NA        NA      NA
#> 3 grade_ii, Cure model      0.195         NA        NA      NA
#> 4 grade_iii, Cure model     0.827         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00853        NA        NA      NA
#> 2 grade_ii, Survival model   0.604          NA        NA      NA
#> 3 grade_iii, Survival model  0.489          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.87744           0.01496           0.19481           0.82684  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 246.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.87743654       0.01495671       0.19480614       0.82683636 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008527699      0.603936881      0.489038774 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.45263524 0.72373313 0.23018058 0.52245005 0.87934308 0.08396703
#>   [7] 0.93728778 0.64821740 0.89025251 0.69456458 0.97678055 0.86248424
#>  [13] 0.99539229 0.66418909 0.97197246 0.91700702 0.41238997 0.97678055
#>  [19] 0.83399418 0.65622184 0.79166776 0.85108315 0.51131775 0.91171754
#>  [25] 0.56165798 0.61532206 0.73789943 0.45263524 0.79166776 0.90636912
#>  [31] 0.82807162 0.89025251 0.86815973 0.77860969 0.87934308 0.81004376
#>  [37] 0.95245525 0.94239028 0.79166776 0.38346595 0.33934400 0.97678055
#>  [43] 0.47705299 0.61532206 0.58968460 0.33934400 0.08396703 0.33934400
#>  [49] 0.61532206 0.16791332 0.83399418 0.91700702 0.89025251 0.68696676
#>  [55] 0.82209948 0.85108315 0.41238997 0.70203296 0.91700702 0.41238997
#>  [61] 0.47705299 0.25376625 0.72373313 0.99074658 0.96231220 0.95245525
#>  [67] 0.70203296 0.75847441 0.32281428 0.53346366 0.70203296 0.66418909
#>  [73] 0.96231220 0.58968460 0.25376625 0.49988736 0.77198241 0.91700702
#>  [79] 0.76527368 0.64003811 0.66418909 0.78519950 0.75165316 0.38346595
#>  [85] 0.94743313 0.20099923 0.60686251 0.83399418 0.25376625 0.57113628
#>  [91] 0.53346366 0.86815973 0.53346366 0.30502546 0.81611120 0.58051066
#>  [97] 0.73789943 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   153   171   129   150    37    78    10   134    56    45    77   154   127 
#> 21.33 16.57 23.41 20.33 12.52 23.88 10.53 17.81 12.21 17.42  7.27 12.63  3.53 
#>   117   149   159    66  77.1    60   184   167    14   128   107   166     8 
#> 17.46  8.37 10.55 22.13  7.27 13.15 17.77 15.55 12.89 20.35 11.18 19.98 18.43 
#>   130 153.1 167.1    49    96  56.1   177   100  37.1    29   187   145 167.2 
#> 16.47 21.33 15.55 12.19 14.54 12.21 12.53 16.07 12.52 15.45  9.92 10.07 15.55 
#>   169    15  77.2    99   8.1    55  15.1  78.1  15.2   8.2    86  60.1 159.1 
#> 22.41 22.68  7.27 21.19 18.43 19.34 22.68 23.88 22.68 18.43 23.81 13.15 10.55 
#>  56.2    30   180  14.1  66.1    23 159.2  66.2    36    69 171.1    25    16 
#> 12.21 17.43 14.82 12.89 22.13 16.92 10.55 22.13 21.19 23.23 16.57  6.32  8.71 
#> 187.1  23.1    85    63   158  23.2 117.1  16.1  55.1  69.1    68   188 159.3 
#>  9.92 16.92 16.44 22.77 20.14 16.92 17.46  8.71 19.34 23.23 20.62 16.16 10.55 
#>     5    41 117.2   125   181 169.1   101   168    76  60.2  69.2   105 158.1 
#> 16.43 18.02 17.46 15.65 16.46 22.41  9.97 23.72 19.22 13.15 23.23 19.75 20.14 
#> 177.1 158.2   113    18   170 130.1    71   138  71.1   151   163    95   132 
#> 12.53 20.14 22.86 15.21 19.54 16.47 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   162  71.2    84    20     3   104   172    82    48   131   152    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 131.1    80   118   160     7     9   109   182   147  82.2  82.3    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1   178 109.1   143 182.1   200  98.2   156   193   112 104.1    31   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.3 147.1    27 138.1   122 193.1    47 156.1    33   120   142    46   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1    19    67 143.1  67.1    44  44.1   116   165 178.1  80.1   185   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196   176 165.1  82.4    72  72.1  17.1     2 152.1 135.1    12   7.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[9]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00882688                0.50229295                0.41250403 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.0510658866           -0.0002831585           -0.1298325856 
#>   grade_iii, Cure model 
#>            1.0026826048 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 56    12.21      1  60        0         0
#> 56.1  12.21      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 61    10.12      1  36        0         1
#> 89    11.44      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 184   17.77      1  38        0         0
#> 170   19.54      1  43        0         1
#> 52    10.42      1  52        0         1
#> 51    18.23      1  83        0         1
#> 108   18.29      1  39        0         1
#> 150   20.33      1  48        0         0
#> 166   19.98      1  48        0         0
#> 37    12.52      1  57        1         0
#> 96    14.54      1  33        0         1
#> 105   19.75      1  60        0         0
#> 171   16.57      1  41        0         1
#> 181   16.46      1  45        0         1
#> 171.1 16.57      1  41        0         1
#> 101    9.97      1  10        0         1
#> 25     6.32      1  34        1         0
#> 24    23.89      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 18    15.21      1  49        1         0
#> 76    19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 86    23.81      1  58        0         1
#> 56.2  12.21      1  60        0         0
#> 39    15.59      1  37        0         1
#> 170.1 19.54      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 26    15.77      1  49        0         1
#> 16.1   8.71      1  71        0         1
#> 25.1   6.32      1  34        1         0
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 14    12.89      1  21        0         0
#> 6     15.64      1  39        0         0
#> 39.1  15.59      1  37        0         1
#> 155   13.08      1  26        0         0
#> 169   22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 123   13.00      1  44        1         0
#> 187    9.92      1  39        1         0
#> 168   23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 55    19.34      1  69        0         1
#> 52.2  10.42      1  52        0         1
#> 85.1  16.44      1  36        0         0
#> 154   12.63      1  20        1         0
#> 133   14.65      1  57        0         0
#> 117   17.46      1  26        0         1
#> 183    9.24      1  67        1         0
#> 195   11.76      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 123.1 13.00      1  44        1         0
#> 23    16.92      1  61        0         0
#> 171.2 16.57      1  41        0         1
#> 8     18.43      1  32        0         0
#> 150.1 20.33      1  48        0         0
#> 57    14.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 25.2   6.32      1  34        1         0
#> 96.1  14.54      1  33        0         1
#> 149    8.37      1  33        1         0
#> 100   16.07      1  60        0         0
#> 78    23.88      1  43        0         0
#> 149.1  8.37      1  33        1         0
#> 29    15.45      1  68        1         0
#> 40.1  18.00      1  28        1         0
#> 8.1   18.43      1  32        0         0
#> 59    10.16      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 56.3  12.21      1  60        0         0
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 189.1 10.51      1  NA        1         0
#> 86.1  23.81      1  58        0         1
#> 58.1  19.34      1  39        0         0
#> 57.1  14.46      1  45        0         1
#> 128   20.35      1  35        0         1
#> 129.1 23.41      1  53        1         0
#> 39.2  15.59      1  37        0         1
#> 76.1  19.22      1  54        0         1
#> 52.3  10.42      1  52        0         1
#> 16.2   8.71      1  71        0         1
#> 32    20.90      1  37        1         0
#> 149.2  8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 96.2  14.54      1  33        0         1
#> 25.3   6.32      1  34        1         0
#> 157   15.10      1  47        0         0
#> 171.3 16.57      1  41        0         1
#> 92    22.92      1  47        0         1
#> 50.1  10.02      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 153   21.33      1  55        1         0
#> 88    18.37      1  47        0         0
#> 139.1 21.49      1  63        1         0
#> 30.1  17.43      1  78        0         0
#> 29.1  15.45      1  68        1         0
#> 42.1  12.43      1  49        0         1
#> 52.4  10.42      1  52        0         1
#> 68    20.62      1  44        0         0
#> 128.1 20.35      1  35        0         1
#> 143   24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 161   24.00      0  45        0         0
#> 9     24.00      0  31        1         0
#> 118.1 24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 126   24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 7     24.00      0  37        1         0
#> 120   24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 2     24.00      0   9        0         0
#> 138   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 71    24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 142   24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 64    24.00      0  43        0         0
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 98.1  24.00      0  34        1         0
#> 115.1 24.00      0  NA        1         0
#> 98.2  24.00      0  34        1         0
#> 95.1  24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 148.1 24.00      0  61        1         0
#> 21.1  24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 151.1 24.00      0  42        0         0
#> 21.2  24.00      0  47        0         0
#> 31    24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 7.1   24.00      0  37        1         0
#> 71.1  24.00      0  51        0         0
#> 22.1  24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 138.1 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 122   24.00      0  66        0         0
#> 196   24.00      0  19        0         0
#> 73.1  24.00      0  NA        0         1
#> 35    24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 120.2 24.00      0  68        0         1
#> 103.1 24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 48.1  24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 54    24.00      0  53        1         0
#> 176.1 24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 74.1  24.00      0  43        0         1
#> 152.1 24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 186   24.00      0  45        1         0
#> 11    24.00      0  42        0         1
#> 20    24.00      0  46        1         0
#> 104   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 74.2  24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 126.1 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.0511          NA        NA      NA
#> 2 age, Cure model         -0.000283        NA        NA      NA
#> 3 grade_ii, Cure model    -0.130           NA        NA      NA
#> 4 grade_iii, Cure model    1.00            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00883        NA        NA      NA
#> 2 grade_ii, Survival model   0.502          NA        NA      NA
#> 3 grade_iii, Survival model  0.413          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.0510659        -0.0002832        -0.1298326         1.0026826  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    258.5 
#> Residual Deviance: 247.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.0510658866    -0.0002831585    -0.1298325856     1.0026826048 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00882688       0.50229295       0.41250403 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.078380018 0.723041716 0.723041716 0.418873031 0.835722077 0.763993306
#>   [7] 0.311693886 0.181172346 0.784736494 0.282969246 0.273256607 0.145820740
#>  [13] 0.162990678 0.692531602 0.590777580 0.171982701 0.370547155 0.408924884
#>  [19] 0.370547155 0.856451033 0.959583988 0.001853500 0.763993306 0.559957972
#>  [25] 0.226108391 0.331021828 0.784736494 0.835722077 0.015337468 0.723041716
#>  [31] 0.509710776 0.181172346 0.887557697 0.292774103 0.469121045 0.887557697
#>  [37] 0.959583988 0.037342037 0.112212327 0.672041314 0.499455664 0.509710776
#>  [43] 0.641411346 0.060978060 0.438787639 0.651701099 0.866830598 0.028599185
#>  [49] 0.702747259 0.199027857 0.784736494 0.418873031 0.682316075 0.580435331
#>  [55] 0.321387022 0.877188928 0.069696498 0.651701099 0.360500568 0.370547155
#>  [61] 0.244637752 0.145820740 0.621063317 0.489261519 0.959583988 0.590777580
#>  [67] 0.918508837 0.458949153 0.007505271 0.918508837 0.539702693 0.292774103
#>  [73] 0.244637752 0.199027857 0.723041716 0.448869126 0.350569223 0.015337468
#>  [79] 0.199027857 0.621063317 0.129323121 0.037342037 0.509710776 0.226108391
#>  [85] 0.784736494 0.887557697 0.103664375 0.918508837 0.949217007 0.590777580
#>  [91] 0.959583988 0.570165434 0.370547155 0.052657897 0.469121045 0.094979359
#>  [97] 0.263519559 0.078380018 0.331021828 0.539702693 0.702747259 0.784736494
#> [103] 0.120670039 0.129323121 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>   139    56  56.1    85    61   107   184   170    52    51   108   150   166 
#> 21.49 12.21 12.21 16.44 10.12 11.18 17.77 19.54 10.42 18.23 18.29 20.33 19.98 
#>    37    96   105   171   181 171.1   101    25    24 107.1    18    76    30 
#> 12.52 14.54 19.75 16.57 16.46 16.57  9.97  6.32 23.89 11.18 15.21 19.22 17.43 
#>  52.1  61.1    86  56.2    39 170.1    16    40    26  16.1  25.1   129   190 
#> 10.42 10.12 23.81 12.21 15.59 19.54  8.71 18.00 15.77  8.71  6.32 23.41 20.81 
#>    14     6  39.1   155   169     5   123   187   168    42    55  52.2  85.1 
#> 12.89 15.64 15.59 13.08 22.41 16.43 13.00  9.92 23.72 12.43 19.34 10.42 16.44 
#>   154   133   117   183   136 123.1    23 171.2     8 150.1    57   125  25.2 
#> 12.63 14.65 17.46  9.24 21.83 13.00 16.92 16.57 18.43 20.33 14.46 15.65  6.32 
#>  96.1   149   100    78 149.1    29  40.1   8.1    58  56.3   188    45  86.1 
#> 14.54  8.37 16.07 23.88  8.37 15.45 18.00 18.43 19.34 12.21 16.16 17.42 23.81 
#>  58.1  57.1   128 129.1  39.2  76.1  52.3  16.2    32 149.2    77  96.2  25.3 
#> 19.34 14.46 20.35 23.41 15.59 19.22 10.42  8.71 20.90  8.37  7.27 14.54  6.32 
#>   157 171.3    92  26.1   153    88 139.1  30.1  29.1  42.1  52.4    68 128.1 
#> 15.10 16.57 22.92 15.77 21.33 18.37 21.49 17.43 15.45 12.43 10.42 20.62 20.35 
#>   143   118   148   161     9 118.1   126    21   200     7   120     2   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   102    71   135    48    98    47   146 146.1   142   112    64    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   109    80    95    34  98.1  98.2  95.1     3   152   3.1 148.1  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 120.1   151    87 151.1  21.2    31   147   7.1  71.1  22.1   178    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    67   132 138.1   131   103   122   196    35 135.1 120.2 103.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1   173  48.1   162    54 176.1    12  74.1 152.1   137    53   186    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   104   165  74.2    19 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[10]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00489285                0.05289544               -0.22040253 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06335249              0.01999215              0.05160241 
#>   grade_iii, Cure model 
#>              0.76017623 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 92    22.92      1  47        0         1
#> 133   14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 8     18.43      1  32        0         0
#> 26    15.77      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 13    14.34      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 130   16.47      1  53        0         1
#> 90    20.94      1  50        0         1
#> 41    18.02      1  40        1         0
#> 8.1   18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 136   21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 125.1 15.65      1  67        1         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 93.1  10.33      1  52        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 139   21.49      1  63        1         0
#> 188   16.16      1  46        0         1
#> 129   23.41      1  53        1         0
#> 189   10.51      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 145   10.07      1  65        1         0
#> 133.1 14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 184   17.77      1  38        0         0
#> 100   16.07      1  60        0         0
#> 107   11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 171   16.57      1  41        0         1
#> 105   19.75      1  60        0         0
#> 133.2 14.65      1  57        0         0
#> 157   15.10      1  47        0         0
#> 37    12.52      1  57        1         0
#> 99.1  21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 123.1 13.00      1  44        1         0
#> 14    12.89      1  21        0         0
#> 30    17.43      1  78        0         0
#> 111   17.45      1  47        0         1
#> 36    21.19      1  48        0         1
#> 106   16.67      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 106.2 16.67      1  49        1         0
#> 56    12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 30.1  17.43      1  78        0         0
#> 60    13.15      1  38        1         0
#> 37.1  12.52      1  57        1         0
#> 85    16.44      1  36        0         0
#> 158   20.14      1  74        1         0
#> 99.2  21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 45.1  17.42      1  54        0         1
#> 26.1  15.77      1  49        0         1
#> 166   19.98      1  48        0         0
#> 157.1 15.10      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 13.1  14.34      1  54        0         1
#> 194   22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 184.1 17.77      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 124.1  9.73      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 36.1  21.19      1  48        0         1
#> 181   16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 190   20.81      1  42        1         0
#> 180   14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 183    9.24      1  67        1         0
#> 129.1 23.41      1  53        1         0
#> 129.2 23.41      1  53        1         0
#> 164   23.60      1  76        0         1
#> 154   12.63      1  20        1         0
#> 13.2  14.34      1  54        0         1
#> 134   17.81      1  47        1         0
#> 189.1 10.51      1  NA        1         0
#> 106.3 16.67      1  49        1         0
#> 145.1 10.07      1  65        1         0
#> 40.1  18.00      1  28        1         0
#> 26.2  15.77      1  49        0         1
#> 140.1 12.68      1  59        1         0
#> 77     7.27      1  67        0         1
#> 51    18.23      1  83        0         1
#> 153.1 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 36.2  21.19      1  48        0         1
#> 110   17.56      1  65        0         1
#> 190.1 20.81      1  42        1         0
#> 51.1  18.23      1  83        0         1
#> 50.1  10.02      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 50.2  10.02      1  NA        1         0
#> 136.2 21.83      1  43        0         1
#> 6     15.64      1  39        0         0
#> 52    10.42      1  52        0         1
#> 117.1 17.46      1  26        0         1
#> 124.2  9.73      1  NA        1         0
#> 83    24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 54    24.00      0  53        1         0
#> 121   24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 54.1  24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 95    24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 95.1  24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 104   24.00      0  50        1         0
#> 71    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 83.1  24.00      0   6        0         0
#> 132.1 24.00      0  55        0         0
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 173.1 24.00      0  19        0         1
#> 11    24.00      0  42        0         1
#> 48.1  24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 131   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 146.1 24.00      0  63        1         0
#> 147.1 24.00      0  76        1         0
#> 48.2  24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 131.1 24.00      0  66        0         0
#> 17    24.00      0  38        0         1
#> 95.2  24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 198   24.00      0  66        0         1
#> 131.2 24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 137   24.00      0  45        1         0
#> 176.1 24.00      0  43        0         1
#> 17.1  24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 144   24.00      0  28        0         1
#> 31.1  24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 2.1   24.00      0   9        0         0
#> 115.1 24.00      0  NA        1         0
#> 135   24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 102.1 24.00      0  49        0         0
#> 12    24.00      0  63        0         0
#> 165   24.00      0  47        0         0
#> 83.2  24.00      0   6        0         0
#> 54.2  24.00      0  53        1         0
#> 44    24.00      0  56        0         0
#> 122   24.00      0  66        0         0
#> 131.3 24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 47    24.00      0  38        0         1
#> 74    24.00      0  43        0         1
#> 186.1 24.00      0  45        1         0
#> 83.3  24.00      0   6        0         0
#> 160   24.00      0  31        1         0
#> 137.1 24.00      0  45        1         0
#> 173.2 24.00      0  19        0         1
#> 47.1  24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 146.2 24.00      0  63        1         0
#> 12.1  24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 12.2  24.00      0  63        0         0
#> 102.2 24.00      0  49        0         0
#> 137.2 24.00      0  45        1         0
#> 11.1  24.00      0  42        0         1
#> 102.3 24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 141.2 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.06          NA        NA      NA
#> 2 age, Cure model           0.0200        NA        NA      NA
#> 3 grade_ii, Cure model      0.0516        NA        NA      NA
#> 4 grade_iii, Cure model     0.760         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00489        NA        NA      NA
#> 2 grade_ii, Survival model   0.0529         NA        NA      NA
#> 3 grade_iii, Survival model -0.220          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06335           0.01999           0.05160           0.76018  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 247.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06335249       0.01999215       0.05160241       0.76017623 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00489285       0.05289544      -0.22040253 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.83015609 0.10166838 0.76025637 0.08882314 0.39457644 0.67947479
#>   [7] 0.10166838 0.78644572 0.33242348 0.63346727 0.28990569 0.44426058
#>  [13] 0.39457644 0.70655576 0.16246177 0.98332476 0.70655576 0.92454810
#>  [19] 0.45417005 0.92454810 0.13814066 0.57869262 0.19642068 0.66111827
#>  [25] 0.05597462 0.85620472 0.94144602 0.76025637 0.01640463 0.16246177
#>  [31] 0.48334701 0.67031797 0.90755875 0.23004305 0.38441534 0.62423660
#>  [37] 0.37422074 0.76025637 0.73352454 0.88200731 0.23004305 0.28990569
#>  [43] 0.83015609 0.84749842 0.54099054 0.53131611 0.23004305 0.58813508
#>  [49] 0.58813508 0.58813508 0.89903293 0.41446584 0.54099054 0.81259617
#>  [55] 0.88200731 0.65191797 0.35356272 0.23004305 0.55985576 0.55985576
#>  [61] 0.67947479 0.36393052 0.73352454 0.20815107 0.78644572 0.15028428
#>  [67] 0.82138249 0.48334701 0.51214010 0.23004305 0.64269260 0.34303619
#>  [73] 0.31137818 0.75132428 0.96659308 0.95820883 0.05597462 0.05597462
#>  [79] 0.03688592 0.87338724 0.78644572 0.47359758 0.58813508 0.94144602
#>  [85] 0.45417005 0.67947479 0.85620472 0.99166636 0.42453994 0.20815107
#>  [91] 0.12570864 0.23004305 0.50249310 0.31137818 0.42453994 0.97496750
#>  [97] 0.16246177 0.72451314 0.91605479 0.51214010 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   123    92   133    69     8    26  92.1    13    68   130    90    41   8.1 
#> 13.00 22.92 14.65 23.23 18.43 15.77 22.92 14.34 20.62 16.47 20.94 18.02 18.43 
#>   125   136    70 125.1    93    40  93.1    15    23   139   188   129   140 
#> 15.65 21.83  7.38 15.65 10.33 18.00 10.33 22.68 16.92 21.49 16.16 23.41 12.68 
#>   145 133.1    78 136.1   184   100   107    99    55   171   105 133.2   157 
#> 10.07 14.65 23.88 21.83 17.77 16.07 11.18 21.19 19.34 16.57 19.75 14.65 15.10 
#>    37  99.1  90.1 123.1    14    30   111    36   106 106.1 106.2    56   108 
#> 12.52 21.19 20.94 13.00 12.89 17.43 17.45 21.19 16.67 16.67 16.67 12.21 18.29 
#>  30.1    60  37.1    85   158  99.2    45  45.1  26.1   166 157.1   153  13.1 
#> 17.43 13.15 12.52 16.44 20.14 21.19 17.42 17.42 15.77 19.98 15.10 21.33 14.34 
#>   194   155 184.1   117  36.1   181   150   190   180    16   183 129.1 129.2 
#> 22.40 13.08 17.77 17.46 21.19 16.46 20.33 20.81 14.82  8.71  9.24 23.41 23.41 
#>   164   154  13.2   134 106.3 145.1  40.1  26.2 140.1    77    51 153.1   113 
#> 23.60 12.63 14.34 17.81 16.67 10.07 18.00 15.77 12.68  7.27 18.23 21.33 22.86 
#>  36.2   110 190.1  51.1   149 136.2     6    52 117.1    83   132    54   121 
#> 21.19 17.56 20.81 18.23  8.37 21.83 15.64 10.42 17.46 24.00 24.00 24.00 24.00 
#>   173  54.1   152    95   178    48   185  95.1   103   104    71     2  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1     1   147 173.1    11  48.1    75   131   176    31   151   146 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.1  48.2   141 141.1    35    27 131.1    17  95.2   161   198 131.2   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 176.1  17.1    82   144  31.1   126   2.1   135   102   196 102.1    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165  83.2  54.2    44   122 131.3   186     7    47    74 186.1  83.3   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1 173.2  47.1 104.1 146.2  12.1    46  12.2 102.2 137.2  11.1 102.3    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9  74.1 141.2   148 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[11]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006617498               0.839206751               0.748192226 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.99631598              0.01590126              0.32347433 
#>   grade_iii, Cure model 
#>              0.84705110 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 149    8.37      1  33        1         0
#> 70     7.38      1  30        1         0
#> 110   17.56      1  65        0         1
#> 41    18.02      1  40        1         0
#> 125   15.65      1  67        1         0
#> 32    20.90      1  37        1         0
#> 179   18.63      1  42        0         0
#> 197   21.60      1  69        1         0
#> 99    21.19      1  38        0         1
#> 32.1  20.90      1  37        1         0
#> 117   17.46      1  26        0         1
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 105   19.75      1  60        0         0
#> 130   16.47      1  53        0         1
#> 184   17.77      1  38        0         0
#> 32.2  20.90      1  37        1         0
#> 110.1 17.56      1  65        0         1
#> 43    12.10      1  61        0         1
#> 37    12.52      1  57        1         0
#> 60    13.15      1  38        1         0
#> 97    19.14      1  65        0         1
#> 43.1  12.10      1  61        0         1
#> 190   20.81      1  42        1         0
#> 92    22.92      1  47        0         1
#> 52    10.42      1  52        0         1
#> 30    17.43      1  78        0         0
#> 4     17.64      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 159.1 10.55      1  50        0         1
#> 52.1  10.42      1  52        0         1
#> 81    14.06      1  34        0         0
#> 90    20.94      1  50        0         1
#> 4.1   17.64      1  NA        0         1
#> 113   22.86      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 32.3  20.90      1  37        1         0
#> 79    16.23      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 56    12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 150   20.33      1  48        0         0
#> 157   15.10      1  47        0         0
#> 57    14.46      1  45        0         1
#> 93.1  10.33      1  52        0         1
#> 52.2  10.42      1  52        0         1
#> 189.1 10.51      1  NA        1         0
#> 157.1 15.10      1  47        0         0
#> 195.1 11.76      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 25.1   6.32      1  34        1         0
#> 59    10.16      1  NA        1         0
#> 93.2  10.33      1  52        0         1
#> 167   15.55      1  56        1         0
#> 184.1 17.77      1  38        0         0
#> 30.1  17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 57.1  14.46      1  45        0         1
#> 93.3  10.33      1  52        0         1
#> 154   12.63      1  20        1         0
#> 49    12.19      1  48        1         0
#> 56.1  12.21      1  60        0         0
#> 45    17.42      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 168   23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 6     15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 177   12.53      1  75        0         0
#> 93.4  10.33      1  52        0         1
#> 188   16.16      1  46        0         1
#> 4.2   17.64      1  NA        0         1
#> 149.1  8.37      1  33        1         0
#> 57.2  14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 24.1  23.89      1  38        0         0
#> 41.1  18.02      1  40        1         0
#> 89    11.44      1  NA        0         0
#> 168.1 23.72      1  70        0         0
#> 189.2 10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 158   20.14      1  74        1         0
#> 113.1 22.86      1  34        0         0
#> 189.3 10.51      1  NA        1         0
#> 150.1 20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 51    18.23      1  83        0         1
#> 145   10.07      1  65        1         0
#> 184.2 17.77      1  38        0         0
#> 43.2  12.10      1  61        0         1
#> 128   20.35      1  35        0         1
#> 192.1 16.44      1  31        1         0
#> 61    10.12      1  36        0         1
#> 125.1 15.65      1  67        1         0
#> 175   21.91      1  43        0         0
#> 16     8.71      1  71        0         1
#> 15    22.68      1  48        0         0
#> 58    19.34      1  39        0         0
#> 179.1 18.63      1  42        0         0
#> 57.3  14.46      1  45        0         1
#> 58.1  19.34      1  39        0         0
#> 59.1  10.16      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 92.1  22.92      1  47        0         1
#> 36    21.19      1  48        0         1
#> 88    18.37      1  47        0         0
#> 145.1 10.07      1  65        1         0
#> 3     24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 151   24.00      0  42        0         0
#> 95    24.00      0  68        0         1
#> 62    24.00      0  71        0         0
#> 102   24.00      0  49        0         0
#> 84    24.00      0  39        0         1
#> 160   24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 2.1   24.00      0   9        0         0
#> 176   24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 34    24.00      0  36        0         0
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 186   24.00      0  45        1         0
#> 62.1  24.00      0  71        0         0
#> 151.1 24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 102.1 24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 44    24.00      0  56        0         0
#> 163   24.00      0  66        0         0
#> 104.1 24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 62.2  24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 28    24.00      0  67        1         0
#> 200   24.00      0  64        0         0
#> 109.1 24.00      0  48        0         0
#> 160.1 24.00      0  31        1         0
#> 72.1  24.00      0  40        0         1
#> 151.2 24.00      0  42        0         0
#> 152.1 24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 109.2 24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 198.1 24.00      0  66        0         1
#> 2.2   24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 160.2 24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 173.1 24.00      0  19        0         1
#> 1     24.00      0  23        1         0
#> 147   24.00      0  76        1         0
#> 196   24.00      0  19        0         0
#> 147.1 24.00      0  76        1         0
#> 2.3   24.00      0   9        0         0
#> 94    24.00      0  51        0         1
#> 104.2 24.00      0  50        1         0
#> 82.1  24.00      0  34        0         0
#> 74    24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 102.2 24.00      0  49        0         0
#> 7     24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 176.1 24.00      0  43        0         1
#> 62.3  24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 146   24.00      0  63        1         0
#> 109.3 24.00      0  48        0         0
#> 34.1  24.00      0  36        0         0
#> 152.2 24.00      0  36        0         1
#> 160.3 24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 147.2 24.00      0  76        1         0
#> 165   24.00      0  47        0         0
#> 176.2 24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 174   24.00      0  49        1         0
#> 2.4   24.00      0   9        0         0
#> 185   24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 148   24.00      0  61        1         0
#> 146.1 24.00      0  63        1         0
#> 147.3 24.00      0  76        1         0
#> 12.1  24.00      0  63        0         0
#> 172   24.00      0  41        0         0
#> 160.4 24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.996         NA        NA      NA
#> 2 age, Cure model           0.0159        NA        NA      NA
#> 3 grade_ii, Cure model      0.323         NA        NA      NA
#> 4 grade_iii, Cure model     0.847         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00662        NA        NA      NA
#> 2 grade_ii, Survival model   0.839          NA        NA      NA
#> 3 grade_iii, Survival model  0.748          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.9963            0.0159            0.3235            0.8471  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    257.3 
#> Residual Deviance: 249 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.99631598       0.01590126       0.32347433       0.84705110 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006617498      0.839206751      0.748192226 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9090658 0.9797644 0.9879416 0.6990912 0.6532394 0.7863945 0.4830278
#>   [8] 0.6193178 0.4092834 0.4423252 0.4830278 0.7134990 0.9920080 0.9369235
#>  [15] 0.5747231 0.7481701 0.6765522 0.4830278 0.6990912 0.8946525 0.8693750
#>  [22] 0.8535512 0.6106354 0.8946525 0.5250758 0.2904029 0.9232320 0.7276312
#>  [29] 0.1526196 0.9090658 0.9232320 0.8481679 0.4698297 0.3308415 0.4830278
#>  [36] 0.7740278 0.0701256 0.8795393 0.7676808 0.5455535 0.8155108 0.8268046
#>  [43] 0.9369235 0.9232320 0.8155108 0.8098153 0.9920080 0.9369235 0.8040303
#>  [50] 0.6765522 0.7276312 0.8693750 0.8268046 0.9369235 0.8588684 0.8896466
#>  [57] 0.8795393 0.7413875 0.4265483 0.1972150 0.9185059 0.7981457 0.5841208
#>  [64] 0.8641320 0.9369235 0.7802568 0.9797644 0.8268046 0.6688803 0.0701256
#>  [71] 0.6532394 0.1972150 0.7206303 0.5652499 0.3308415 0.5455535 0.7548319
#>  [78] 0.9713964 0.6449700 0.9629309 0.6765522 0.8946525 0.5354775 0.7548319
#>  [85] 0.9585910 0.7863945 0.3898424 0.9756017 0.3700773 0.5841208 0.6193178
#>  [92] 0.8268046 0.5841208 0.2615971 0.2904029 0.4423252 0.6364087 0.9629309
#>  [99] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   159   149    70   110    41   125    32   179   197    99  32.1   117    25 
#> 10.55  8.37  7.38 17.56 18.02 15.65 20.90 18.63 21.60 21.19 20.90 17.46  6.32 
#>    93   105   130   184  32.2 110.1    43    37    60    97  43.1   190    92 
#> 10.33 19.75 16.47 17.77 20.90 17.56 12.10 12.52 13.15 19.14 12.10 20.81 22.92 
#>    52    30    78 159.1  52.1    81    90   113  32.3    79    24    56     5 
#> 10.42 17.43 23.88 10.55 10.42 14.06 20.94 22.86 20.90 16.23 23.89 12.21 16.43 
#>   150   157    57  93.1  52.2 157.1    18  25.1  93.2   167 184.1  30.1  37.1 
#> 20.33 15.10 14.46 10.33 10.42 15.10 15.21  6.32 10.33 15.55 17.77 17.43 12.52 
#>  57.1  93.3   154    49  56.1    45   153   168    10     6    55   177  93.4 
#> 14.46 10.33 12.63 12.19 12.21 17.42 21.33 23.72 10.53 15.64 19.34 12.53 10.33 
#>   188 149.1  57.2   134  24.1  41.1 168.1   111   158 113.1 150.1   192   187 
#> 16.16  8.37 14.46 17.81 23.89 18.02 23.72 17.45 20.14 22.86 20.33 16.44  9.92 
#>    51   145 184.2  43.2   128 192.1    61 125.1   175    16    15    58 179.1 
#> 18.23 10.07 17.77 12.10 20.35 16.44 10.12 15.65 21.91  8.71 22.68 19.34 18.63 
#>  57.3  58.1    69  92.1    36    88 145.1     3    22    64   151    95    62 
#> 14.46 19.34 23.23 22.92 21.19 18.37 10.07 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    84   160     2   2.1   176   141    38   122   173   109    34   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137   186  62.1 151.1   198 102.1   161    87    44   163 104.1    35   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2    72    28   200 109.1 160.1  72.1 151.2 152.1    82 109.2   116 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.2    21 160.2 141.1 173.1     1   147   196 147.1   2.3    94 104.2  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74  87.1 102.2     7    12 176.1  62.3   193   146 109.3  34.1 152.2 160.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144 147.2   165 176.2  74.1    98    48   174   2.4   185  44.1   148 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 147.3  12.1   172 160.4 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[12]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0002362012              0.5683385412              0.4105592752 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.36437328              0.01206649             -0.40704511 
#>   grade_iii, Cure model 
#>              0.38657217 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 153   21.33      1  55        1         0
#> 187    9.92      1  39        1         0
#> 139   21.49      1  63        1         0
#> 93    10.33      1  52        0         1
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 58    19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 194   22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 169   22.41      1  46        0         0
#> 100   16.07      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 90    20.94      1  50        0         1
#> 49    12.19      1  48        1         0
#> 197   21.60      1  69        1         0
#> 124    9.73      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 194.1 22.40      1  38        0         1
#> 184   17.77      1  38        0         0
#> 5     16.43      1  51        0         1
#> 63    22.77      1  31        1         0
#> 166   19.98      1  48        0         0
#> 61    10.12      1  36        0         1
#> 169.1 22.41      1  46        0         0
#> 107   11.18      1  54        1         0
#> 85    16.44      1  36        0         0
#> 91     5.33      1  61        0         1
#> 105.2 19.75      1  60        0         0
#> 88    18.37      1  47        0         0
#> 39    15.59      1  37        0         1
#> 57    14.46      1  45        0         1
#> 14    12.89      1  21        0         0
#> 56    12.21      1  60        0         0
#> 92    22.92      1  47        0         1
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 96.1  14.54      1  33        0         1
#> 29    15.45      1  68        1         0
#> 140   12.68      1  59        1         0
#> 99    21.19      1  38        0         1
#> 10    10.53      1  34        0         0
#> 51    18.23      1  83        0         1
#> 39.1  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 139.1 21.49      1  63        1         0
#> 4     17.64      1  NA        0         1
#> 85.1  16.44      1  36        0         0
#> 114   13.68      1  NA        0         0
#> 90.1  20.94      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 108   18.29      1  39        0         1
#> 166.1 19.98      1  48        0         0
#> 155   13.08      1  26        0         0
#> 127    3.53      1  62        0         1
#> 50    10.02      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 158   20.14      1  74        1         0
#> 110.1 17.56      1  65        0         1
#> 39.2  15.59      1  37        0         1
#> 184.1 17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 59    10.16      1  NA        1         0
#> 59.1  10.16      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 149    8.37      1  33        1         0
#> 184.2 17.77      1  38        0         0
#> 40.1  18.00      1  28        1         0
#> 125   15.65      1  67        1         0
#> 169.2 22.41      1  46        0         0
#> 107.1 11.18      1  54        1         0
#> 56.1  12.21      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 85.2  16.44      1  36        0         0
#> 110.2 17.56      1  65        0         1
#> 5.1   16.43      1  51        0         1
#> 124.2  9.73      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 113   22.86      1  34        0         0
#> 183    9.24      1  67        1         0
#> 56.2  12.21      1  60        0         0
#> 70     7.38      1  30        1         0
#> 40.2  18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 183.1  9.24      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 100.1 16.07      1  60        0         0
#> 69    23.23      1  25        0         1
#> 41    18.02      1  40        1         0
#> 189   10.51      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 140.1 12.68      1  59        1         0
#> 105.3 19.75      1  60        0         0
#> 170   19.54      1  43        0         1
#> 29.1  15.45      1  68        1         0
#> 86    23.81      1  58        0         1
#> 23    16.92      1  61        0         0
#> 150.1 20.33      1  48        0         0
#> 168   23.72      1  70        0         0
#> 93.1  10.33      1  52        0         1
#> 157.1 15.10      1  47        0         0
#> 18.1  15.21      1  49        1         0
#> 49.1  12.19      1  48        1         0
#> 199   19.81      1  NA        0         1
#> 149.1  8.37      1  33        1         0
#> 114.1 13.68      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 138   24.00      0  44        1         0
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 95    24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 142   24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 116   24.00      0  58        0         1
#> 54    24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 80    24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 80.1  24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 54.1  24.00      0  53        1         0
#> 7.1   24.00      0  37        1         0
#> 53    24.00      0  32        0         1
#> 27    24.00      0  63        1         0
#> 162   24.00      0  51        0         0
#> 135.1 24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 20    24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 119   24.00      0  17        0         0
#> 185   24.00      0  44        1         0
#> 54.2  24.00      0  53        1         0
#> 12    24.00      0  63        0         0
#> 27.1  24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 200   24.00      0  64        0         0
#> 160   24.00      0  31        1         0
#> 7.2   24.00      0  37        1         0
#> 186   24.00      0  45        1         0
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 103.1 24.00      0  56        1         0
#> 2.1   24.00      0   9        0         0
#> 185.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 17    24.00      0  38        0         1
#> 135.2 24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 84    24.00      0  39        0         1
#> 2.2   24.00      0   9        0         0
#> 1     24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 17.1  24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 186.1 24.00      0  45        1         0
#> 82.2  24.00      0  34        0         0
#> 3     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 135.3 24.00      0  58        1         0
#> 121   24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 176   24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 44    24.00      0  56        0         0
#> 54.3  24.00      0  53        1         0
#> 138.1 24.00      0  44        1         0
#> 82.3  24.00      0  34        0         0
#> 27.2  24.00      0  63        1         0
#> 198   24.00      0  66        0         1
#> 19    24.00      0  57        0         1
#> 71    24.00      0  51        0         0
#> 198.1 24.00      0  66        0         1
#> 3.1   24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 35.1  24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 104   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.364         NA        NA      NA
#> 2 age, Cure model           0.0121        NA        NA      NA
#> 3 grade_ii, Cure model     -0.407         NA        NA      NA
#> 4 grade_iii, Cure model     0.387         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000236        NA        NA      NA
#> 2 grade_ii, Survival model  0.568           NA        NA      NA
#> 3 grade_iii, Survival model 0.411           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.36437           0.01207          -0.40705           0.38657  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 252.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.36437328       0.01206649      -0.40704511       0.38657217 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0002362012     0.5683385412     0.4105592752 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.29372603 0.93658655 0.27082906 0.90003844 0.33722999 0.39854656
#>   [7] 0.44771558 0.11642223 0.23280163 0.76225087 0.50653607 0.19349598
#>  [13] 0.66445807 0.39854656 0.31616257 0.85515124 0.25826925 0.65593657
#>  [19] 0.23280163 0.53346068 0.63883031 0.17936795 0.37843578 0.91473099
#>  [25] 0.19349598 0.87023944 0.61298198 0.98609616 0.39854656 0.46762556
#>  [31] 0.68981902 0.77795407 0.79365344 0.83230387 0.14925892 0.92930171
#>  [37] 0.82461428 0.76225087 0.71434833 0.80150249 0.30505178 0.88512429
#>  [43] 0.48731099 0.68981902 0.45772762 0.27082906 0.61298198 0.31616257
#>  [49] 0.91473099 0.47752118 0.37843578 0.78580400 0.99306098 0.56037334
#>  [55] 0.36823700 0.56037334 0.68981902 0.53346068 0.60423871 0.89259776
#>  [61] 0.96509567 0.53346068 0.50653607 0.68138564 0.19349598 0.87023944
#>  [67] 0.83230387 0.58661710 0.61298198 0.56037334 0.63883031 0.74637782
#>  [73] 0.73050101 0.16431851 0.95092588 0.83230387 0.97910520 0.50653607
#>  [79] 0.81688685 0.95092588 0.93658655 0.01498700 0.66445807 0.13336019
#>  [85] 0.49699622 0.34767476 0.80150249 0.39854656 0.43770148 0.71434833
#>  [91] 0.07813495 0.59542885 0.34767476 0.09730372 0.90003844 0.74637782
#>  [97] 0.73050101 0.85515124 0.96509567 0.04037650 0.04037650 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   153   187   139    93    32   105    58   129   194    96    40   169   100 
#> 21.33  9.92 21.49 10.33 20.90 19.75 19.34 23.41 22.40 14.54 18.00 22.41 16.07 
#> 105.1    90    49   197    79 194.1   184     5    63   166    61 169.1   107 
#> 19.75 20.94 12.19 21.60 16.23 22.40 17.77 16.43 22.77 19.98 10.12 22.41 11.18 
#>    85    91 105.2    88    39    57    14    56    92   101    42  96.1    29 
#> 16.44  5.33 19.75 18.37 15.59 14.46 12.89 12.21 22.92  9.97 12.43 14.54 15.45 
#>   140    99    10    51  39.1    76 139.1  85.1  90.1  61.1   108 166.1   155 
#> 12.68 21.19 10.53 18.23 15.59 19.22 21.49 16.44 20.94 10.12 18.29 19.98 13.08 
#>   127   110   158 110.1  39.2 184.1   171    52   149 184.2  40.1   125 169.2 
#>  3.53 17.56 20.14 17.56 15.59 17.77 16.57 10.42  8.37 17.77 18.00 15.65 22.41 
#> 107.1  56.1   111  85.2 110.2   5.1   157    18   113   183  56.2    70  40.2 
#> 11.18 12.21 17.45 16.44 17.56 16.43 15.10 15.21 22.86  9.24 12.21  7.38 18.00 
#>   177 183.1 187.1    24 100.1    69    41   150 140.1 105.3   170  29.1    86 
#> 12.53  9.24  9.92 23.89 16.07 23.23 18.02 20.33 12.68 19.75 19.54 15.45 23.81 
#>    23 150.1   168  93.1 157.1  18.1  49.1 149.1    78  78.1   138   152    33 
#> 16.92 20.33 23.72 10.33 15.10 15.21 12.19  8.37 23.88 23.88 24.00 24.00 24.00 
#>    95    21    48    31   174   142   135    72   122    35     9   144   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    54     7    80   103    82  80.1    83  54.1   7.1    53    27   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    65   118    34  34.1    20   156   163   119   185  54.2    12  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1   200   160   7.2   186     2   147 103.1   2.1 185.1   148    17 135.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    84   2.2     1  17.1    46 186.1  82.2     3    11    47   112 135.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   176 116.1   191    44  54.3 138.1  82.3  27.2   198    19    71 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1 142.1  35.1   126   104 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[13]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02161283                1.12994312                0.73182776 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.549799793             0.005822849             0.233742163 
#>   grade_iii, Cure model 
#>             1.199108395 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 123   13.00      1  44        1         0
#> 57    14.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 88    18.37      1  47        0         0
#> 14    12.89      1  21        0         0
#> 159   10.55      1  50        0         1
#> 167   15.55      1  56        1         0
#> 106   16.67      1  49        1         0
#> 10    10.53      1  34        0         0
#> 114   13.68      1  NA        0         0
#> 86    23.81      1  58        0         1
#> 16     8.71      1  71        0         1
#> 188   16.16      1  46        0         1
#> 110   17.56      1  65        0         1
#> 45    17.42      1  54        0         1
#> 183    9.24      1  67        1         0
#> 150   20.33      1  48        0         0
#> 134   17.81      1  47        1         0
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 123.1 13.00      1  44        1         0
#> 108   18.29      1  39        0         1
#> 139   21.49      1  63        1         0
#> 101    9.97      1  10        0         1
#> 175   21.91      1  43        0         0
#> 100   16.07      1  60        0         0
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 150.1 20.33      1  48        0         0
#> 61    10.12      1  36        0         1
#> 101.1  9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 108.1 18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 123.2 13.00      1  44        1         0
#> 60.1  13.15      1  38        1         0
#> 108.2 18.29      1  39        0         1
#> 124.1  9.73      1  NA        1         0
#> 108.3 18.29      1  39        0         1
#> 130   16.47      1  53        0         1
#> 169   22.41      1  46        0         0
#> 194   22.40      1  38        0         1
#> 188.1 16.16      1  46        0         1
#> 155   13.08      1  26        0         0
#> 159.1 10.55      1  50        0         1
#> 124.2  9.73      1  NA        1         0
#> 113   22.86      1  34        0         0
#> 42    12.43      1  49        0         1
#> 195   11.76      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 189   10.51      1  NA        1         0
#> 10.1  10.53      1  34        0         0
#> 66    22.13      1  53        0         0
#> 55    19.34      1  69        0         1
#> 85    16.44      1  36        0         0
#> 5     16.43      1  51        0         1
#> 8     18.43      1  32        0         0
#> 51    18.23      1  83        0         1
#> 127    3.53      1  62        0         1
#> 134.1 17.81      1  47        1         0
#> 150.2 20.33      1  48        0         0
#> 117   17.46      1  26        0         1
#> 42.1  12.43      1  49        0         1
#> 197   21.60      1  69        1         0
#> 187    9.92      1  39        1         0
#> 14.1  12.89      1  21        0         0
#> 25     6.32      1  34        1         0
#> 81    14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 5.1   16.43      1  51        0         1
#> 168   23.72      1  70        0         0
#> 129   23.41      1  53        1         0
#> 140   12.68      1  59        1         0
#> 130.1 16.47      1  53        0         1
#> 59.1  10.16      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 61.1  10.12      1  36        0         1
#> 168.1 23.72      1  70        0         0
#> 110.1 17.56      1  65        0         1
#> 70     7.38      1  30        1         0
#> 36.1  21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 195.1 11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 86.1  23.81      1  58        0         1
#> 175.1 21.91      1  43        0         0
#> 16.1   8.71      1  71        0         1
#> 37.1  12.52      1  57        1         0
#> 61.2  10.12      1  36        0         1
#> 15.1  22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 134.2 17.81      1  47        1         0
#> 99.2  21.19      1  38        0         1
#> 60.2  13.15      1  38        1         0
#> 180   14.82      1  37        0         0
#> 88.1  18.37      1  47        0         0
#> 49    12.19      1  48        1         0
#> 180.1 14.82      1  37        0         0
#> 194.1 22.40      1  38        0         1
#> 24.1  23.89      1  38        0         0
#> 96    14.54      1  33        0         1
#> 41.1  18.02      1  40        1         0
#> 159.2 10.55      1  50        0         1
#> 117.1 17.46      1  26        0         1
#> 139.1 21.49      1  63        1         0
#> 41.2  18.02      1  40        1         0
#> 24.2  23.89      1  38        0         0
#> 18    15.21      1  49        1         0
#> 178   24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 27    24.00      0  63        1         0
#> 146   24.00      0  63        1         0
#> 185   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 12    24.00      0  63        0         0
#> 174   24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 172   24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 132.1 24.00      0  55        0         0
#> 31    24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 54    24.00      0  53        1         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 2.1   24.00      0   9        0         0
#> 138   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 182   24.00      0  35        0         0
#> 173   24.00      0  19        0         1
#> 73.1  24.00      0  NA        0         1
#> 1.1   24.00      0  23        1         0
#> 83    24.00      0   6        0         0
#> 27.1  24.00      0  63        1         0
#> 47.1  24.00      0  38        0         1
#> 131   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 83.1  24.00      0   6        0         0
#> 163   24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 135   24.00      0  58        1         0
#> 65    24.00      0  57        1         0
#> 132.2 24.00      0  55        0         0
#> 94    24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 44    24.00      0  56        0         0
#> 82.1  24.00      0  34        0         0
#> 172.1 24.00      0  41        0         0
#> 71    24.00      0  51        0         0
#> 138.1 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 173.1 24.00      0  19        0         1
#> 172.2 24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 34.1  24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 185.1 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 33.2  24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 38.1  24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 165.1 24.00      0  47        0         0
#> 47.2  24.00      0  38        0         1
#> 191.1 24.00      0  60        0         1
#> 87    24.00      0  27        0         0
#> 71.2  24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 147.1 24.00      0  76        1         0
#> 87.1  24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 161   24.00      0  45        0         0
#> 71.3  24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 144   24.00      0  28        0         1
#> 186.1 24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 17    24.00      0  38        0         1
#> 12.1  24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.550          NA        NA      NA
#> 2 age, Cure model          0.00582        NA        NA      NA
#> 3 grade_ii, Cure model     0.234          NA        NA      NA
#> 4 grade_iii, Cure model    1.20           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0216        NA        NA      NA
#> 2 grade_ii, Survival model    1.13          NA        NA      NA
#> 3 grade_iii, Survival model   0.732         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.549800          0.005823          0.233742          1.199108  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 246.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.549799793      0.005822849      0.233742163      1.199108395 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02161283       1.12994312       0.73182776 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.6289488395 0.5575125801 0.0951380584 0.0002570553 0.1875777372
#>   [6] 0.6639703620 0.7858759553 0.4981893794 0.3749390979 0.8231652049
#>  [11] 0.0024966783 0.9367202728 0.4636536762 0.3216651657 0.3641169741
#>  [16] 0.9241380949 0.1318303297 0.2911565701 0.4074405824 0.0951380584
#>  [21] 0.6289488395 0.2085091829 0.0794671216 0.8865899057 0.0570445298
#>  [26] 0.4864514593 0.5818122431 0.6999046114 0.1318303297 0.8486194386
#>  [31] 0.8865899057 0.7734212210 0.2085091829 0.6289488395 0.5818122431
#>  [36] 0.2085091829 0.2085091829 0.3857383379 0.0328088869 0.0388773857
#>  [41] 0.4636536762 0.6169177232 0.7858759553 0.0185557827 0.7364847013
#>  [46] 0.0951380584 0.8231652049 0.0503723223 0.1677763447 0.4185041021
#>  [51] 0.4297280651 0.1775392129 0.2491063894 0.9873404664 0.2911565701
#>  [56] 0.1318303297 0.3430124315 0.7364847013 0.0715475868 0.9116024245
#>  [61] 0.6639703620 0.9747544653 0.5695949748 0.7121412311 0.4297280651
#>  [66] 0.0055447739 0.0147323355 0.6878372575 0.3857383379 0.0109296620
#>  [71] 0.8486194386 0.0055447739 0.3216651657 0.9620892287 0.0951380584
#>  [76] 0.2602599126 0.0228403634 0.4522423319 0.0024966783 0.0570445298
#>  [81] 0.9367202728 0.7121412311 0.8486194386 0.0228403634 0.1583067412
#>  [86] 0.2911565701 0.0951380584 0.5818122431 0.5216881571 0.1875777372
#>  [91] 0.7610548598 0.5216881571 0.0388773857 0.0002570553 0.5454859605
#>  [96] 0.2602599126 0.7858759553 0.3430124315 0.0794671216 0.2602599126
#> [101] 0.0002570553 0.5099487089 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>   123    57    99    24    88    14   159   167   106    10    86    16   188 
#> 13.00 14.46 21.19 23.89 18.37 12.89 10.55 15.55 16.67 10.53 23.81  8.71 16.16 
#>   110    45   183   150   134   181    36 123.1   108   139   101   175   100 
#> 17.56 17.42  9.24 20.33 17.81 16.46 21.19 13.00 18.29 21.49  9.97 21.91 16.07 
#>    60   177 150.1    61 101.1    43 108.1 123.2  60.1 108.2 108.3   130   169 
#> 13.15 12.53 20.33 10.12  9.97 12.10 18.29 13.00 13.15 18.29 18.29 16.47 22.41 
#>   194 188.1   155 159.1   113    42  99.1  10.1    66    55    85     5     8 
#> 22.40 16.16 13.08 10.55 22.86 12.43 21.19 10.53 22.13 19.34 16.44 16.43 18.43 
#>    51   127 134.1 150.2   117  42.1   197   187  14.1    25    81    37   5.1 
#> 18.23  3.53 17.81 20.33 17.46 12.43 21.60  9.92 12.89  6.32 14.06 12.52 16.43 
#>   168   129   140 130.1   164  61.1 168.1 110.1    70  36.1    41    15    79 
#> 23.72 23.41 12.68 16.47 23.60 10.12 23.72 17.56  7.38 21.19 18.02 22.68 16.23 
#>  86.1 175.1  16.1  37.1  61.2  15.1   170 134.2  99.2  60.2   180  88.1    49 
#> 23.81 21.91  8.71 12.52 10.12 22.68 19.54 17.81 21.19 13.15 14.82 18.37 12.19 
#> 180.1 194.1  24.1    96  41.1 159.2 117.1 139.1  41.2  24.2    18   178    48 
#> 14.82 22.40 23.89 14.54 18.02 10.55 17.46 21.49 18.02 23.89 15.21 24.00 24.00 
#>   126    27   146   185   132    12   174     2   172    20   152    82   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   196 132.1    31    34    54    28    33   2.1   138     1   182   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1    83  27.1  47.1   131   191  83.1   163   143   109   116   135    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.2    94   176    44  82.1 172.1    71 138.1    38  33.1   198 173.1 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.1     9   120   186  34.1  44.1 185.1   104    98  33.2   118   147  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1 165.1  47.2 191.1    87  71.2 143.1 147.1  87.1    11   161  71.3  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   200   144 186.1    84    17  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[14]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004151961               0.274684442               0.061548937 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -2.0098287               0.0309481               0.4282538 
#>   grade_iii, Cure model 
#>               1.3985110 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 107   11.18      1  54        1         0
#> 40    18.00      1  28        1         0
#> 40.1  18.00      1  28        1         0
#> 63    22.77      1  31        1         0
#> 105   19.75      1  60        0         0
#> 51    18.23      1  83        0         1
#> 56    12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 108   18.29      1  39        0         1
#> 139   21.49      1  63        1         0
#> 154   12.63      1  20        1         0
#> 86    23.81      1  58        0         1
#> 117   17.46      1  26        0         1
#> 50    10.02      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 77     7.27      1  67        0         1
#> 159   10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 108.1 18.29      1  39        0         1
#> 129   23.41      1  53        1         0
#> 90    20.94      1  50        0         1
#> 170   19.54      1  43        0         1
#> 41    18.02      1  40        1         0
#> 52    10.42      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 29    15.45      1  68        1         0
#> 106   16.67      1  49        1         0
#> 100   16.07      1  60        0         0
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 170.1 19.54      1  43        0         1
#> 99    21.19      1  38        0         1
#> 158   20.14      1  74        1         0
#> 195   11.76      1  NA        1         0
#> 16     8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 40.2  18.00      1  28        1         0
#> 56.1  12.21      1  60        0         0
#> 188   16.16      1  46        0         1
#> 99.1  21.19      1  38        0         1
#> 117.1 17.46      1  26        0         1
#> 170.2 19.54      1  43        0         1
#> 51.1  18.23      1  83        0         1
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 136   21.83      1  43        0         1
#> 127    3.53      1  62        0         1
#> 188.1 16.16      1  46        0         1
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 45    17.42      1  54        0         1
#> 187    9.92      1  39        1         0
#> 194   22.40      1  38        0         1
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 194.1 22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 111   17.45      1  47        0         1
#> 127.1  3.53      1  62        0         1
#> 4     17.64      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 139.1 21.49      1  63        1         0
#> 15.1  22.68      1  48        0         0
#> 167   15.55      1  56        1         0
#> 110.1 17.56      1  65        0         1
#> 36    21.19      1  48        0         1
#> 42    12.43      1  49        0         1
#> 56.2  12.21      1  60        0         0
#> 129.1 23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 70     7.38      1  30        1         0
#> 36.1  21.19      1  48        0         1
#> 86.1  23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 43    12.10      1  61        0         1
#> 130   16.47      1  53        0         1
#> 167.1 15.55      1  56        1         0
#> 164   23.60      1  76        0         1
#> 37.1  12.52      1  57        1         0
#> 183    9.24      1  67        1         0
#> 134   17.81      1  47        1         0
#> 43.1  12.10      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 51.2  18.23      1  83        0         1
#> 76    19.22      1  54        0         1
#> 179   18.63      1  42        0         0
#> 145   10.07      1  65        1         0
#> 158.1 20.14      1  74        1         0
#> 57    14.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 37.2  12.52      1  57        1         0
#> 179.1 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 52.1  10.42      1  52        0         1
#> 96    14.54      1  33        0         1
#> 183.1  9.24      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 68.1  20.62      1  44        0         0
#> 159.1 10.55      1  50        0         1
#> 164.1 23.60      1  76        0         1
#> 127.2  3.53      1  62        0         1
#> 180   14.82      1  37        0         0
#> 181   16.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 189.1 10.51      1  NA        1         0
#> 66    22.13      1  53        0         0
#> 61.1  10.12      1  36        0         1
#> 13    14.34      1  54        0         1
#> 86.2  23.81      1  58        0         1
#> 185   24.00      0  44        1         0
#> 162   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 20    24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 109   24.00      0  48        0         0
#> 48    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 185.1 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 174   24.00      0  49        1         0
#> 75    24.00      0  21        1         0
#> 48.1  24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 80    24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 87    24.00      0  27        0         0
#> 120   24.00      0  68        0         1
#> 116   24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 138   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 80.1  24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 176   24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 28    24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 94.2  24.00      0  51        0         1
#> 138.1 24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 38    24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 80.2  24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 80.3  24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 109.1 24.00      0  48        0         0
#> 198   24.00      0  66        0         1
#> 1     24.00      0  23        1         0
#> 109.2 24.00      0  48        0         0
#> 35.1  24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 116.1 24.00      0  58        0         1
#> 148.1 24.00      0  61        1         0
#> 54    24.00      0  53        1         0
#> 94.3  24.00      0  51        0         1
#> 98    24.00      0  34        1         0
#> 87.1  24.00      0  27        0         0
#> 174.1 24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 75.1  24.00      0  21        1         0
#> 38.1  24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 44    24.00      0  56        0         0
#> 191   24.00      0  60        0         1
#> 173.1 24.00      0  19        0         1
#> 12    24.00      0  63        0         0
#> 47    24.00      0  38        0         1
#> 161.1 24.00      0  45        0         0
#> 116.2 24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 143   24.00      0  51        0         0
#> 38.2  24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 174.2 24.00      0  49        1         0
#> 162.2 24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 172   24.00      0  41        0         0
#> 172.1 24.00      0  41        0         0
#> 33.1  24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 80.4  24.00      0  41        0         0
#> 11.1  24.00      0  42        0         1
#> 53    24.00      0  32        0         1
#> 118.1 24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 28.1  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -2.01          NA        NA      NA
#> 2 age, Cure model           0.0309        NA        NA      NA
#> 3 grade_ii, Cure model      0.428         NA        NA      NA
#> 4 grade_iii, Cure model     1.40          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00415        NA        NA      NA
#> 2 grade_ii, Survival model   0.275          NA        NA      NA
#> 3 grade_iii, Survival model  0.0615         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -2.00983           0.03095           0.42825           1.39851  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 234.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -2.0098287        0.0309481        0.4282538        1.3985110 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004151961      0.274684442      0.061548937 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.860557948 0.807265912 0.413765664 0.413765664 0.058931068 0.237060635
#>   [7] 0.373322175 0.754602042 0.067546884 0.353339478 0.120035922 0.702423546
#>  [13] 0.007871309 0.484003412 0.946356240 0.817934517 0.353339478 0.042618549
#>  [19] 0.171944275 0.256007318 0.403481329 0.839207515 0.343258120 0.649757206
#>  [25] 0.535249020 0.607933704 0.957132639 0.313508072 0.256007318 0.137786038
#>  [31] 0.218442684 0.924831088 0.413765664 0.754602042 0.587202271 0.137786038
#>  [37] 0.484003412 0.256007318 0.373322175 0.618429139 0.190553393 0.110789866
#>  [43] 0.967891736 0.587202271 0.514559792 0.524889101 0.892715696 0.084424611
#>  [49] 0.712963753 0.284237089 0.084424611 0.181273970 0.504287534 0.967891736
#>  [55] 0.463757881 0.120035922 0.067546884 0.628940269 0.463757881 0.137786038
#>  [61] 0.744066761 0.754602042 0.042618549 0.208953409 0.935603690 0.137786038
#>  [67] 0.007871309 0.566364970 0.786055284 0.545594161 0.628940269 0.026038127
#>  [73] 0.712963753 0.903462845 0.443488171 0.786055284 0.237060635 0.373322175
#>  [79] 0.303612477 0.323462779 0.881953083 0.218442684 0.681300312 0.576788490
#>  [85] 0.712963753 0.323462779 0.453606497 0.839207515 0.670770003 0.903462845
#>  [91] 0.190553393 0.817934517 0.026038127 0.967891736 0.660251699 0.555968140
#>  [97] 0.284237089 0.101628611 0.860557948 0.691849826 0.007871309 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    61   107    40  40.1    63   105    51    56    15   108   139   154    86 
#> 10.12 11.18 18.00 18.00 22.77 19.75 18.23 12.21 22.68 18.29 21.49 12.63 23.81 
#>   117    77   159 108.1   129    90   170    41    52     8    29   106   100 
#> 17.46  7.27 10.55 18.29 23.41 20.94 19.54 18.02 10.42 18.43 15.45 16.67 16.07 
#>    25    97 170.1    99   158    16  40.2  56.1   188  99.1 117.1 170.2  51.1 
#>  6.32 19.14 19.54 21.19 20.14  8.71 18.00 12.21 16.16 21.19 17.46 19.54 18.23 
#>    39    68   136   127 188.1    30    45   187   194    37    55 194.1   190 
#> 15.59 20.62 21.83  3.53 16.16 17.43 17.42  9.92 22.40 12.52 19.34 22.40 20.81 
#>   111 127.1   110 139.1  15.1   167 110.1    36    42  56.2 129.1   150    70 
#> 17.45  3.53 17.56 21.49 22.68 15.55 17.56 21.19 12.43 12.21 23.41 20.33  7.38 
#>  36.1  86.1     5    43   130 167.1   164  37.1   183   134  43.1 105.1  51.2 
#> 21.19 23.81 16.43 12.10 16.47 15.55 23.60 12.52  9.24 17.81 12.10 19.75 18.23 
#>    76   179   145 158.1    57    79  37.2 179.1   184  52.1    96 183.1  68.1 
#> 19.22 18.63 10.07 20.14 14.46 16.23 12.52 18.63 17.77 10.42 14.54  9.24 20.62 
#> 159.1 164.1 127.2   180   181    58    66  61.1    13  86.2   185   162   161 
#> 10.55 23.60  3.53 14.82 16.46 19.34 22.13 10.12 14.34 23.81 24.00 24.00 24.00 
#>    20    94   109    48   122   103     3    34 185.1   173   174    75  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1    80   148    87   120   116   156   138    33  80.1   182    46   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   135    28   163    35     2  94.2 138.1   3.1    83    38   146 162.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.2   141  80.3    11 109.1   198     1 109.2  35.1    21 116.1 148.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.3    98  87.1 174.1  75.1  38.1 135.1    44   191 173.1    12    47 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.2    84   143  38.2  47.1 174.2 162.2    95   172 172.1  33.1     9 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.4  11.1    53 118.1   2.1  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[15]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00838762                0.48378138                0.63313183 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76716566              0.01751951              0.06968239 
#>   grade_iii, Cure model 
#>              0.49279288 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 155   13.08      1  26        0         0
#> 45    17.42      1  54        0         1
#> 150   20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 58    19.34      1  39        0         0
#> 66    22.13      1  53        0         0
#> 50    10.02      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 158   20.14      1  74        1         0
#> 155.1 13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 78    23.88      1  43        0         0
#> 77     7.27      1  67        0         1
#> 134   17.81      1  47        1         0
#> 180   14.82      1  37        0         0
#> 43    12.10      1  61        0         1
#> 96    14.54      1  33        0         1
#> 78.1  23.88      1  43        0         0
#> 167   15.55      1  56        1         0
#> 42    12.43      1  49        0         1
#> 128   20.35      1  35        0         1
#> 106   16.67      1  49        1         0
#> 61    10.12      1  36        0         1
#> 42.1  12.43      1  49        0         1
#> 179   18.63      1  42        0         0
#> 194   22.40      1  38        0         1
#> 100   16.07      1  60        0         0
#> 129   23.41      1  53        1         0
#> 150.1 20.33      1  48        0         0
#> 128.1 20.35      1  35        0         1
#> 29    15.45      1  68        1         0
#> 97    19.14      1  65        0         1
#> 199.1 19.81      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 159   10.55      1  50        0         1
#> 192   16.44      1  31        1         0
#> 8     18.43      1  32        0         0
#> 66.1  22.13      1  53        0         0
#> 41    18.02      1  40        1         0
#> 70     7.38      1  30        1         0
#> 167.1 15.55      1  56        1         0
#> 52    10.42      1  52        0         1
#> 188   16.16      1  46        0         1
#> 52.1  10.42      1  52        0         1
#> 168   23.72      1  70        0         0
#> 24    23.89      1  38        0         0
#> 42.2  12.43      1  49        0         1
#> 190   20.81      1  42        1         0
#> 8.1   18.43      1  32        0         0
#> 197   21.60      1  69        1         0
#> 180.1 14.82      1  37        0         0
#> 166   19.98      1  48        0         0
#> 49    12.19      1  48        1         0
#> 107   11.18      1  54        1         0
#> 8.2   18.43      1  32        0         0
#> 192.1 16.44      1  31        1         0
#> 40    18.00      1  28        1         0
#> 164   23.60      1  76        0         1
#> 192.2 16.44      1  31        1         0
#> 179.1 18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 99    21.19      1  38        0         1
#> 170   19.54      1  43        0         1
#> 60.1  13.15      1  38        1         0
#> 88    18.37      1  47        0         0
#> 197.1 21.60      1  69        1         0
#> 5     16.43      1  51        0         1
#> 32    20.90      1  37        1         0
#> 68    20.62      1  44        0         0
#> 93    10.33      1  52        0         1
#> 60.2  13.15      1  38        1         0
#> 66.2  22.13      1  53        0         0
#> 49.1  12.19      1  48        1         0
#> 32.1  20.90      1  37        1         0
#> 155.2 13.08      1  26        0         0
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 61.1  10.12      1  36        0         1
#> 150.2 20.33      1  48        0         0
#> 199.2 19.81      1  NA        0         1
#> 157   15.10      1  47        0         0
#> 14    12.89      1  21        0         0
#> 169   22.41      1  46        0         0
#> 76    19.22      1  54        0         1
#> 197.2 21.60      1  69        1         0
#> 49.2  12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 97.1  19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 189   10.51      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 189.1 10.51      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 192.3 16.44      1  31        1         0
#> 39.2  15.59      1  37        0         1
#> 158.1 20.14      1  74        1         0
#> 88.1  18.37      1  47        0         0
#> 29.1  15.45      1  68        1         0
#> 16     8.71      1  71        0         1
#> 97.2  19.14      1  65        0         1
#> 58.1  19.34      1  39        0         0
#> 108.1 18.29      1  39        0         1
#> 40.1  18.00      1  28        1         0
#> 57    14.46      1  45        0         1
#> 10    10.53      1  34        0         0
#> 197.3 21.60      1  69        1         0
#> 63    22.77      1  31        1         0
#> 21    24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 35    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 176   24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 98    24.00      0  34        1         0
#> 35.1  24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 146   24.00      0  63        1         0
#> 7.1   24.00      0  37        1         0
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 84    24.00      0  39        0         1
#> 148.1 24.00      0  61        1         0
#> 12    24.00      0  63        0         0
#> 102   24.00      0  49        0         0
#> 12.1  24.00      0  63        0         0
#> 53    24.00      0  32        0         1
#> 71    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 126   24.00      0  48        0         0
#> 120   24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 71.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 119.1 24.00      0  17        0         0
#> 33    24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 82    24.00      0  34        0         0
#> 87    24.00      0  27        0         0
#> 151   24.00      0  42        0         0
#> 83.1  24.00      0   6        0         0
#> 21.1  24.00      0  47        0         0
#> 98.1  24.00      0  34        1         0
#> 48    24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 142   24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 19.1  24.00      0  57        0         1
#> 144   24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 82.1  24.00      0  34        0         0
#> 122   24.00      0  66        0         0
#> 148.2 24.00      0  61        1         0
#> 75.1  24.00      0  21        1         0
#> 132.1 24.00      0  55        0         0
#> 126.1 24.00      0  48        0         0
#> 9.2   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 148.3 24.00      0  61        1         0
#> 64    24.00      0  43        0         0
#> 160.1 24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 19.2  24.00      0  57        0         1
#> 80    24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 47.1  24.00      0  38        0         1
#> 3.1   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 53.1  24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 138.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 152.1 24.00      0  36        0         1
#> 83.2  24.00      0   6        0         0
#> 47.2  24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 87.1  24.00      0  27        0         0
#> 87.2  24.00      0  27        0         0
#> 2     24.00      0   9        0         0
#> 82.2  24.00      0  34        0         0
#> 151.1 24.00      0  42        0         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.767         NA        NA      NA
#> 2 age, Cure model           0.0175        NA        NA      NA
#> 3 grade_ii, Cure model      0.0697        NA        NA      NA
#> 4 grade_iii, Cure model     0.493         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00839        NA        NA      NA
#> 2 grade_ii, Survival model   0.484          NA        NA      NA
#> 3 grade_iii, Survival model  0.633          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76717           0.01752           0.06968           0.49279  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 257.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76716566       0.01751951       0.06968239       0.49279288 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00838762       0.48378138       0.63313183 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.762830891 0.513424345 0.245923142 0.443076564 0.313777063 0.102198285
#>   [7] 0.734462718 0.533307420 0.274362887 0.762830891 0.055111807 0.178703653
#>  [13] 0.009103990 0.981217911 0.493396867 0.695777022 0.867503217 0.715128775
#>  [19] 0.009103990 0.647910396 0.801068905 0.227307782 0.523373008 0.934199107
#>  [25] 0.801068905 0.372646515 0.092672382 0.599955907 0.044575747 0.245923142
#>  [31] 0.227307782 0.666985110 0.343665935 0.503437478 0.990614705 0.886640218
#>  [37] 0.533307420 0.392536873 0.102198285 0.463295883 0.971814476 0.647910396
#>  [43] 0.905750156 0.590268831 0.905750156 0.023369807 0.002300976 0.801068905
#>  [49] 0.207765902 0.392536873 0.130837672 0.695777022 0.293842192 0.839068305
#>  [55] 0.877073352 0.392536873 0.533307420 0.473482405 0.033951733 0.533307420
#>  [61] 0.372646515 0.829453030 0.168582000 0.303860808 0.734462718 0.422521664
#>  [67] 0.130837672 0.580536951 0.188690687 0.217469077 0.924697635 0.734462718
#>  [73] 0.102198285 0.839068305 0.188690687 0.762830891 0.609705233 0.619498251
#>  [79] 0.934199107 0.245923142 0.686105207 0.791407387 0.073928911 0.333641243
#>  [85] 0.130837672 0.839068305 0.073928911 0.343665935 0.952956395 0.619498251
#>  [91] 0.533307420 0.619498251 0.274362887 0.422521664 0.666985110 0.962387206
#>  [97] 0.343665935 0.313777063 0.443076564 0.473482405 0.724814527 0.896182548
#> [103] 0.130837672 0.064690359 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   155    45   150   108    58    66    60    85   158 155.1    69    90    78 
#> 13.08 17.42 20.33 18.29 19.34 22.13 13.15 16.44 20.14 13.08 23.23 20.94 23.88 
#>    77   134   180    43    96  78.1   167    42   128   106    61  42.1   179 
#>  7.27 17.81 14.82 12.10 14.54 23.88 15.55 12.43 20.35 16.67 10.12 12.43 18.63 
#>   194   100   129 150.1 128.1    29    97   111    91   159   192     8  66.1 
#> 22.40 16.07 23.41 20.33 20.35 15.45 19.14 17.45  5.33 10.55 16.44 18.43 22.13 
#>    41    70 167.1    52   188  52.1   168    24  42.2   190   8.1   197 180.1 
#> 18.02  7.38 15.55 10.42 16.16 10.42 23.72 23.89 12.43 20.81 18.43 21.60 14.82 
#>   166    49   107   8.2 192.1    40   164 192.2 179.1    56    99   170  60.1 
#> 19.98 12.19 11.18 18.43 16.44 18.00 23.60 16.44 18.63 12.21 21.19 19.54 13.15 
#>    88 197.1     5    32    68    93  60.2  66.2  49.1  32.1 155.2     6    39 
#> 18.37 21.60 16.43 20.90 20.62 10.33 13.15 22.13 12.19 20.90 13.08 15.64 15.59 
#>  61.1 150.2   157    14   169    76 197.2  49.2 169.1  97.1   145  39.1 192.3 
#> 10.12 20.33 15.10 12.89 22.41 19.22 21.60 12.19 22.41 19.14 10.07 15.59 16.44 
#>  39.2 158.1  88.1  29.1    16  97.2  58.1 108.1  40.1    57    10 197.3    63 
#> 15.59 20.14 18.37 15.45  8.71 19.14 19.34 18.29 18.00 14.46 10.53 21.60 22.77 
#>    21    75    35    31   141   176   156   160     7   132   148    98  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   7.1    83   119    84 148.1    12   102  12.1    53    71     9   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120  31.1  71.1    62 119.1    33   138    19    82    87   151  83.1  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1    48   9.1    11    47   142   165  19.1   144     3   198  82.1   122 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.2  75.1 132.1 126.1   9.2   193 148.3    64 160.1   135   103   152  19.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   112   131  47.1   3.1    74   185  75.2  53.1   147 138.1   191 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.2  47.2    65  87.1  87.2     2  82.2 151.1  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[16]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002805582               0.661724858               0.381204852 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73866374              0.01991382             -0.23206589 
#>   grade_iii, Cure model 
#>              0.21443374 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 127    3.53      1  62        0         1
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 58    19.34      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 52    10.42      1  52        0         1
#> 32    20.90      1  37        1         0
#> 70     7.38      1  30        1         0
#> 25     6.32      1  34        1         0
#> 97    19.14      1  65        0         1
#> 130   16.47      1  53        0         1
#> 199   19.81      1  NA        0         1
#> 145   10.07      1  65        1         0
#> 114   13.68      1  NA        0         0
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 14    12.89      1  21        0         0
#> 190   20.81      1  42        1         0
#> 96    14.54      1  33        0         1
#> 58.1  19.34      1  39        0         0
#> 78    23.88      1  43        0         0
#> 164   23.60      1  76        0         1
#> 133   14.65      1  57        0         0
#> 32.1  20.90      1  37        1         0
#> 123   13.00      1  44        1         0
#> 91     5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 29    15.45      1  68        1         0
#> 70.1   7.38      1  30        1         0
#> 86    23.81      1  58        0         1
#> 110   17.56      1  65        0         1
#> 10    10.53      1  34        0         0
#> 181   16.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 81    14.06      1  34        0         0
#> 23    16.92      1  61        0         0
#> 183    9.24      1  67        1         0
#> 79    16.23      1  54        1         0
#> 181.1 16.46      1  45        0         1
#> 29.1  15.45      1  68        1         0
#> 63    22.77      1  31        1         0
#> 56    12.21      1  60        0         0
#> 97.1  19.14      1  65        0         1
#> 177   12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 149    8.37      1  33        1         0
#> 177.1 12.53      1  75        0         0
#> 181.2 16.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 189   10.51      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 79.1  16.23      1  54        1         0
#> 190.1 20.81      1  42        1         0
#> 76    19.22      1  54        0         1
#> 153   21.33      1  55        1         0
#> 181.3 16.46      1  45        0         1
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 61    10.12      1  36        0         1
#> 125   15.65      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 41    18.02      1  40        1         0
#> 78.1  23.88      1  43        0         0
#> 133.1 14.65      1  57        0         0
#> 169.1 22.41      1  46        0         0
#> 136   21.83      1  43        0         1
#> 30    17.43      1  78        0         0
#> 133.2 14.65      1  57        0         0
#> 184.1 17.77      1  38        0         0
#> 192   16.44      1  31        1         0
#> 85    16.44      1  36        0         0
#> 188   16.16      1  46        0         1
#> 188.1 16.16      1  46        0         1
#> 56.1  12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 168.2 23.72      1  70        0         0
#> 117   17.46      1  26        0         1
#> 61.1  10.12      1  36        0         1
#> 124    9.73      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 150   20.33      1  48        0         0
#> 61.2  10.12      1  36        0         1
#> 181.4 16.46      1  45        0         1
#> 105.1 19.75      1  60        0         0
#> 60    13.15      1  38        1         0
#> 43    12.10      1  61        0         1
#> 37.1  12.52      1  57        1         0
#> 66    22.13      1  53        0         0
#> 39    15.59      1  37        0         1
#> 166   19.98      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 25.1   6.32      1  34        1         0
#> 100   16.07      1  60        0         0
#> 159   10.55      1  50        0         1
#> 139   21.49      1  63        1         0
#> 128   20.35      1  35        0         1
#> 30.2  17.43      1  78        0         0
#> 57.1  14.46      1  45        0         1
#> 100.1 16.07      1  60        0         0
#> 167   15.55      1  56        1         0
#> 18.1  15.21      1  49        1         0
#> 13    14.34      1  54        0         1
#> 14.1  12.89      1  21        0         0
#> 181.5 16.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 179   18.63      1  42        0         0
#> 55    19.34      1  69        0         1
#> 70.2   7.38      1  30        1         0
#> 43.1  12.10      1  61        0         1
#> 19    24.00      0  57        0         1
#> 137   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 186   24.00      0  45        1         0
#> 160   24.00      0  31        1         0
#> 176   24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 67    24.00      0  25        0         0
#> 143   24.00      0  51        0         0
#> 94    24.00      0  51        0         1
#> 19.1  24.00      0  57        0         1
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 2     24.00      0   9        0         0
#> 104   24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 44    24.00      0  56        0         0
#> 75.1  24.00      0  21        1         0
#> 94.1  24.00      0  51        0         1
#> 95    24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 102.1 24.00      0  49        0         0
#> 182   24.00      0  35        0         0
#> 165   24.00      0  47        0         0
#> 143.1 24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 165.1 24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 119   24.00      0  17        0         0
#> 95.1  24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 137.1 24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 27.1  24.00      0  63        1         0
#> 27.2  24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 144.1 24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 191   24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 73    24.00      0  NA        0         1
#> 34.1  24.00      0  36        0         0
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 148.1 24.00      0  61        1         0
#> 28    24.00      0  67        1         0
#> 104.1 24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 67.1  24.00      0  25        0         0
#> 191.1 24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 21    24.00      0  47        0         0
#> 196.1 24.00      0  19        0         0
#> 20.1  24.00      0  46        1         0
#> 19.2  24.00      0  57        0         1
#> 54    24.00      0  53        1         0
#> 80    24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 2.1   24.00      0   9        0         0
#> 12    24.00      0  63        0         0
#> 74    24.00      0  43        0         1
#> 62    24.00      0  71        0         0
#> 53.1  24.00      0  32        0         1
#> 126   24.00      0  48        0         0
#> 53.2  24.00      0  32        0         1
#> 163.1 24.00      0  66        0         0
#> 137.2 24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 146   24.00      0  63        1         0
#> 62.1  24.00      0  71        0         0
#> 148.2 24.00      0  61        1         0
#> 141.1 24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 116.1 24.00      0  58        0         1
#> 48.1  24.00      0  31        1         0
#> 191.2 24.00      0  60        0         1
#> 28.1  24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.739         NA        NA      NA
#> 2 age, Cure model           0.0199        NA        NA      NA
#> 3 grade_ii, Cure model     -0.232         NA        NA      NA
#> 4 grade_iii, Cure model     0.214         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00281        NA        NA      NA
#> 2 grade_ii, Survival model   0.662          NA        NA      NA
#> 3 grade_iii, Survival model  0.381          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.73866           0.01991          -0.23207           0.21443  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 257.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73866374       0.01991382      -0.23206589       0.21443374 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002805582      0.661724858      0.381204852 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.69454692 0.99242765 0.21514808 0.05106315 0.32786647 0.05106315
#>   [7] 0.89137074 0.23802708 0.94680945 0.96970189 0.36702052 0.50103396
#>  [13] 0.92313986 0.10255020 0.79432593 0.25876541 0.72804483 0.32786647
#>  [19] 0.01186244 0.08826222 0.70296377 0.23802708 0.78616687 0.98484197
#>  [25] 0.30809307 0.66084458 0.94680945 0.03665670 0.43470176 0.88330430
#>  [31] 0.51058452 0.41563090 0.76145984 0.49143551 0.93107374 0.58169950
#>  [37] 0.51058452 0.66084458 0.11615078 0.84300297 0.36702052 0.81057926
#>  [43] 0.22666614 0.93896687 0.81057926 0.51058452 0.82689467 0.16571753
#>  [49] 0.58169950 0.25876541 0.35707730 0.20345521 0.51058452 0.12862008
#>  [55] 0.73647032 0.89941786 0.63458787 0.67784008 0.40602866 0.01186244
#>  [61] 0.70296377 0.12862008 0.17864528 0.46328373 0.70296377 0.41563090
#>  [67] 0.56363091 0.56363091 0.59940212 0.59940212 0.84300297 0.45381864
#>  [73] 0.05106315 0.44429731 0.89941786 0.46328373 0.28823507 0.89941786
#>  [79] 0.51058452 0.30809307 0.76981304 0.85915911 0.82689467 0.15290382
#>  [85] 0.64339121 0.29814323 0.76981304 0.96970189 0.61695612 0.87524455
#>  [91] 0.19130094 0.27836967 0.46328373 0.73647032 0.61695612 0.65215622
#>  [97] 0.67784008 0.75311496 0.79432593 0.51058452 0.39625719 0.38640991
#> [103] 0.32786647 0.94680945 0.85915911 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   157   127    36   168    58 168.1    52    32    70    25    97   130   145 
#> 15.10  3.53 21.19 23.72 19.34 23.72 10.42 20.90  7.38  6.32 19.14 16.47 10.07 
#>    69    14   190    96  58.1    78   164   133  32.1   123    91   105    29 
#> 23.23 12.89 20.81 14.54 19.34 23.88 23.60 14.65 20.90 13.00  5.33 19.75 15.45 
#>  70.1    86   110    10   181   184    81    23   183    79 181.1  29.1    63 
#>  7.38 23.81 17.56 10.53 16.46 17.77 14.06 16.92  9.24 16.23 16.46 15.45 22.77 
#>    56  97.1   177    90   149 177.1 181.2    37   175  79.1 190.1    76   153 
#> 12.21 19.14 12.53 20.94  8.37 12.53 16.46 12.52 21.91 16.23 20.81 19.22 21.33 
#> 181.3   169    57    61   125    18    41  78.1 133.1 169.1   136    30 133.2 
#> 16.46 22.41 14.46 10.12 15.65 15.21 18.02 23.88 14.65 22.41 21.83 17.43 14.65 
#> 184.1   192    85   188 188.1  56.1   111 168.2   117  61.1  30.1   150  61.2 
#> 17.77 16.44 16.44 16.16 16.16 12.21 17.45 23.72 17.46 10.12 17.43 20.33 10.12 
#> 181.4 105.1    60    43  37.1    66    39   166  60.1  25.1   100   159   139 
#> 16.46 19.75 13.15 12.10 12.52 22.13 15.59 19.98 13.15  6.32 16.07 10.55 21.49 
#>   128  30.2  57.1 100.1   167  18.1    13  14.1 181.5   108   179    55  70.2 
#> 20.35 17.43 14.46 16.07 15.55 15.21 14.34 12.89 16.46 18.29 18.63 19.34  7.38 
#>  43.1    19   137    84   148   156   186   160   176    75    67   143    94 
#> 12.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1    17    27    64     2   104    20   131   102    44  75.1  94.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    34 102.1   182   165 143.1 165.1   142   144   119  95.1   174    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151 137.1   163  27.1  27.2   196 144.1   173   191   116  34.1    48     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.1    28 104.1    31  67.1 191.1   141    53    21 196.1  20.1  19.2    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    83   2.1    12    74    62  53.1   126  53.2 163.1 137.2   185    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146  62.1 148.2 141.1  84.1 116.1  48.1 191.2  28.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[17]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004447462               0.562281139               0.323225383 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.94488472              0.02478228             -0.33124764 
#>   grade_iii, Cure model 
#>              0.23894866 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 114   13.68      1  NA        0         0
#> 127    3.53      1  62        0         1
#> 29    15.45      1  68        1         0
#> 89    11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 8     18.43      1  32        0         0
#> 195   11.76      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 145   10.07      1  65        1         0
#> 179.1 18.63      1  42        0         0
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 100.1 16.07      1  60        0         0
#> 56    12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 133   14.65      1  57        0         0
#> 85    16.44      1  36        0         0
#> 171   16.57      1  41        0         1
#> 51    18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 14    12.89      1  21        0         0
#> 158   20.14      1  74        1         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 107   11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 167   15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 14.1  12.89      1  21        0         0
#> 164   23.60      1  76        0         1
#> 169   22.41      1  46        0         0
#> 99.1  21.19      1  38        0         1
#> 99.2  21.19      1  38        0         1
#> 166   19.98      1  48        0         0
#> 168   23.72      1  70        0         0
#> 197.1 21.60      1  69        1         0
#> 187    9.92      1  39        1         0
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 136   21.83      1  43        0         1
#> 77     7.27      1  67        0         1
#> 107.1 11.18      1  54        1         0
#> 89.1  11.44      1  NA        0         0
#> 140   12.68      1  59        1         0
#> 85.1  16.44      1  36        0         0
#> 99.3  21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 51.1  18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 43    12.10      1  61        0         1
#> 93    10.33      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 167.1 15.55      1  56        1         0
#> 169.1 22.41      1  46        0         0
#> 56.1  12.21      1  60        0         0
#> 58    19.34      1  39        0         0
#> 127.1  3.53      1  62        0         1
#> 85.2  16.44      1  36        0         0
#> 107.2 11.18      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 166.1 19.98      1  48        0         0
#> 88    18.37      1  47        0         0
#> 79    16.23      1  54        1         0
#> 90    20.94      1  50        0         1
#> 49    12.19      1  48        1         0
#> 60    13.15      1  38        1         0
#> 149    8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 101    9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 192.1 16.44      1  31        1         0
#> 195.1 11.76      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 18    15.21      1  49        1         0
#> 29.1  15.45      1  68        1         0
#> 88.1  18.37      1  47        0         0
#> 133.1 14.65      1  57        0         0
#> 108   18.29      1  39        0         1
#> 41    18.02      1  40        1         0
#> 169.2 22.41      1  46        0         0
#> 15    22.68      1  48        0         0
#> 168.1 23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 51.2  18.23      1  83        0         1
#> 105.1 19.75      1  60        0         0
#> 26    15.77      1  49        0         1
#> 166.2 19.98      1  48        0         0
#> 5.1   16.43      1  51        0         1
#> 166.3 19.98      1  48        0         0
#> 183.1  9.24      1  67        1         0
#> 32    20.90      1  37        1         0
#> 43.1  12.10      1  61        0         1
#> 66    22.13      1  53        0         0
#> 139   21.49      1  63        1         0
#> 139.1 21.49      1  63        1         0
#> 81    14.06      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 76.1  19.22      1  54        0         1
#> 89.2  11.44      1  NA        0         0
#> 167.2 15.55      1  56        1         0
#> 170   19.54      1  43        0         1
#> 166.4 19.98      1  48        0         0
#> 51.3  18.23      1  83        0         1
#> 124    9.73      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 184   17.77      1  38        0         0
#> 135   24.00      0  58        1         0
#> 11    24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 44    24.00      0  56        0         0
#> 47    24.00      0  38        0         1
#> 11.1  24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 34    24.00      0  36        0         0
#> 35    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 87    24.00      0  27        0         0
#> 82    24.00      0  34        0         0
#> 53    24.00      0  32        0         1
#> 98.1  24.00      0  34        1         0
#> 103   24.00      0  56        1         0
#> 21    24.00      0  47        0         0
#> 185.1 24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 160.1 24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 146.1 24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 186.1 24.00      0  45        1         0
#> 186.2 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 19    24.00      0  57        0         1
#> 20    24.00      0  46        1         0
#> 163.1 24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 135.1 24.00      0  58        1         0
#> 20.1  24.00      0  46        1         0
#> 72    24.00      0  40        0         1
#> 116   24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 103.1 24.00      0  56        1         0
#> 44.1  24.00      0  56        0         0
#> 156.1 24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 160.2 24.00      0  31        1         0
#> 146.2 24.00      0  63        1         0
#> 120.1 24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 144.1 24.00      0  28        0         1
#> 131   24.00      0  66        0         0
#> 21.1  24.00      0  47        0         0
#> 74.1  24.00      0  43        0         1
#> 74.2  24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 109   24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 19.1  24.00      0  57        0         1
#> 71.1  24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 185.2 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 83.1  24.00      0   6        0         0
#> 147.1 24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 44.2  24.00      0  56        0         0
#> 178   24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 174.1 24.00      0  49        1         0
#> 1     24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 71.2  24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 98.2  24.00      0  34        1         0
#> 83.2  24.00      0   6        0         0
#> 21.2  24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.945         NA        NA      NA
#> 2 age, Cure model           0.0248        NA        NA      NA
#> 3 grade_ii, Cure model     -0.331         NA        NA      NA
#> 4 grade_iii, Cure model     0.239         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00445        NA        NA      NA
#> 2 grade_ii, Survival model   0.562          NA        NA      NA
#> 3 grade_iii, Survival model  0.323          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.94488           0.02478          -0.33125           0.23895  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 254.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.94488472       0.02478228      -0.33124764       0.23894866 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004447462      0.562281139      0.323225383 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.126287025 0.982322273 0.698271541 0.200474139 0.400054105 0.380442166
#>   [7] 0.613021629 0.919706322 0.380442166 0.901634443 0.361001168 0.613021629
#>  [13] 0.819324240 0.004905594 0.726200660 0.537781869 0.518206737 0.439888677
#>  [19] 0.159785233 0.782189018 0.266240468 0.537781869 0.488666344 0.865429537
#>  [25] 0.946766754 0.670320927 0.064746167 0.782189018 0.038111011 0.095474536
#>  [31] 0.200474139 0.200474139 0.275780803 0.016030617 0.159785233 0.937783425
#>  [37] 0.528006182 0.810080379 0.051625351 0.148634630 0.973435473 0.865429537
#>  [43] 0.800772224 0.537781869 0.200474139 0.744821735 0.256609556 0.439888677
#>  [49] 0.584416690 0.847053794 0.892520242 0.901634443 0.670320927 0.095474536
#>  [55] 0.819324240 0.351099463 0.982322273 0.537781869 0.865429537 0.321733653
#>  [61] 0.275780803 0.410016105 0.603474188 0.237291055 0.837804799 0.763546162
#>  [67] 0.964546600 0.772861451 0.928759011 0.651260963 0.537781869 0.064746167
#>  [73] 0.716883517 0.698271541 0.410016105 0.726200660 0.429878056 0.478740394
#>  [79] 0.095474536 0.084614007 0.016030617 0.641705099 0.439888677 0.321733653
#>  [85] 0.632105995 0.275780803 0.584416690 0.275780803 0.946766754 0.247042495
#>  [91] 0.847053794 0.137365202 0.180501591 0.180501591 0.754175793 0.651260963
#>  [97] 0.361001168 0.670320927 0.341242043 0.275780803 0.439888677 0.508379183
#> [103] 0.498507610 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   194   127    29    99     8   179   100   145 179.1    61    76 100.1    56 
#> 22.40  3.53 15.45 21.19 18.43 18.63 16.07 10.07 18.63 10.12 19.22 16.07 12.21 
#>    24   133    85   171    51   197    14   158   192   134   107   183   167 
#> 23.89 14.65 16.44 16.57 18.23 21.60 12.89 20.14 16.44 17.81 11.18  9.24 15.55 
#>    63  14.1   164   169  99.1  99.2   166   168 197.1   187   181   154    92 
#> 22.77 12.89 23.60 22.41 21.19 21.19 19.98 23.72 21.60  9.92 16.46 12.63 22.92 
#>   136    77 107.1   140  85.1  99.3    57    68  51.1     5    43    93  61.1 
#> 21.83  7.27 11.18 12.68 16.44 21.19 14.46 20.62 18.23 16.43 12.10 10.33 10.12 
#> 167.1 169.1  56.1    58 127.1  85.2 107.2   105 166.1    88    79    90    49 
#> 15.55 22.41 12.21 19.34  3.53 16.44 11.18 19.75 19.98 18.37 16.23 20.94 12.19 
#>    60   149   155   101     6 192.1  63.1    18  29.1  88.1 133.1   108    41 
#> 13.15  8.37 13.08  9.97 15.64 16.44 22.77 15.21 15.45 18.37 14.65 18.29 18.02 
#> 169.2    15 168.1   125  51.2 105.1    26 166.2   5.1 166.3 183.1    32  43.1 
#> 22.41 22.68 23.72 15.65 18.23 19.75 15.77 19.98 16.43 19.98  9.24 20.90 12.10 
#>    66   139 139.1    81   6.1  76.1 167.2   170 166.4  51.3   117   184   135 
#> 22.13 21.49 21.49 14.06 15.64 19.22 15.55 19.54 19.98 18.23 17.46 17.77 24.00 
#>    11    98    44    47  11.1   185    71   132    34    35   152   200    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    82    53  98.1   103    21 185.1  35.1   142   146   172   186   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   160    38   156 160.1  34.1 146.1   144 186.1 186.2   120   196    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20 163.1    83 135.1  20.1    72   116    17 103.1  44.1 156.1   173   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2 146.2 120.1  17.1   138 144.1   131  21.1  74.1  74.2   137   109    80 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1  71.1    75 185.2    64 173.1  83.1 147.1     7   162  44.2   178   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1     1   126  71.2   193  98.2  83.2  21.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[18]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005619246               0.470396560               0.318738942 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.671866964             0.009996429             0.390485801 
#>   grade_iii, Cure model 
#>             0.901759679 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 105   19.75      1  60        0         0
#> 128   20.35      1  35        0         1
#> 81    14.06      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 56    12.21      1  60        0         0
#> 123   13.00      1  44        1         0
#> 140   12.68      1  59        1         0
#> 123.1 13.00      1  44        1         0
#> 79    16.23      1  54        1         0
#> 140.1 12.68      1  59        1         0
#> 56.1  12.21      1  60        0         0
#> 184   17.77      1  38        0         0
#> 26    15.77      1  49        0         1
#> 10    10.53      1  34        0         0
#> 101    9.97      1  10        0         1
#> 45    17.42      1  54        0         1
#> 171   16.57      1  41        0         1
#> 79.1  16.23      1  54        1         0
#> 45.1  17.42      1  54        0         1
#> 60    13.15      1  38        1         0
#> 183    9.24      1  67        1         0
#> 16     8.71      1  71        0         1
#> 164   23.60      1  76        0         1
#> 18    15.21      1  49        1         0
#> 168.1 23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 52    10.42      1  52        0         1
#> 158   20.14      1  74        1         0
#> 157   15.10      1  47        0         0
#> 123.2 13.00      1  44        1         0
#> 107   11.18      1  54        1         0
#> 133   14.65      1  57        0         0
#> 187    9.92      1  39        1         0
#> 91     5.33      1  61        0         1
#> 16.1   8.71      1  71        0         1
#> 159   10.55      1  50        0         1
#> 106   16.67      1  49        1         0
#> 42    12.43      1  49        0         1
#> 125   15.65      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 40    18.00      1  28        1         0
#> 43    12.10      1  61        0         1
#> 192   16.44      1  31        1         0
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 50    10.02      1  NA        1         0
#> 89    11.44      1  NA        0         0
#> 36    21.19      1  48        0         1
#> 88    18.37      1  47        0         0
#> 43.1  12.10      1  61        0         1
#> 51    18.23      1  83        0         1
#> 166   19.98      1  48        0         0
#> 5     16.43      1  51        0         1
#> 57    14.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 125.1 15.65      1  67        1         0
#> 106.1 16.67      1  49        1         0
#> 155   13.08      1  26        0         0
#> 91.1   5.33      1  61        0         1
#> 166.1 19.98      1  48        0         0
#> 108   18.29      1  39        0         1
#> 81.1  14.06      1  34        0         0
#> 184.1 17.77      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 184.2 17.77      1  38        0         0
#> 108.1 18.29      1  39        0         1
#> 68    20.62      1  44        0         0
#> 184.3 17.77      1  38        0         0
#> 90    20.94      1  50        0         1
#> 77     7.27      1  67        0         1
#> 105.2 19.75      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 101.1  9.97      1  10        0         1
#> 41    18.02      1  40        1         0
#> 36.1  21.19      1  48        0         1
#> 85    16.44      1  36        0         0
#> 77.1   7.27      1  67        0         1
#> 79.2  16.23      1  54        1         0
#> 101.2  9.97      1  10        0         1
#> 79.3  16.23      1  54        1         0
#> 69    23.23      1  25        0         1
#> 81.2  14.06      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 32    20.90      1  37        1         0
#> 30    17.43      1  78        0         0
#> 93    10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 43.2  12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 86    23.81      1  58        0         1
#> 25     6.32      1  34        1         0
#> 37    12.52      1  57        1         0
#> 18.1  15.21      1  49        1         0
#> 76    19.22      1  54        0         1
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 155.1 13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 177   12.53      1  75        0         0
#> 29    15.45      1  68        1         0
#> 134   17.81      1  47        1         0
#> 26.1  15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 171.1 16.57      1  41        0         1
#> 150   20.33      1  48        0         0
#> 91.2   5.33      1  61        0         1
#> 43.3  12.10      1  61        0         1
#> 50.1  10.02      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 67    24.00      0  25        0         0
#> 121   24.00      0  57        1         0
#> 31    24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 196   24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 112   24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 65    24.00      0  57        1         0
#> 141.1 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 122.1 24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 12    24.00      0  63        0         0
#> 185   24.00      0  44        1         0
#> 193   24.00      0  45        0         1
#> 147   24.00      0  76        1         0
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 9     24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 102   24.00      0  49        0         0
#> 173.1 24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 152   24.00      0  36        0         1
#> 38.1  24.00      0  31        1         0
#> 141.2 24.00      0  44        1         0
#> 21.2  24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 146.1 24.00      0  63        1         0
#> 12.1  24.00      0  63        0         0
#> 84    24.00      0  39        0         1
#> 21.3  24.00      0  47        0         0
#> 21.4  24.00      0  47        0         0
#> 104.1 24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 83    24.00      0   6        0         0
#> 102.1 24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 62    24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 3     24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 196.1 24.00      0  19        0         0
#> 53    24.00      0  32        0         1
#> 11    24.00      0  42        0         1
#> 71.1  24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 2     24.00      0   9        0         0
#> 131.1 24.00      0  66        0         0
#> 35.2  24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 196.2 24.00      0  19        0         0
#> 20    24.00      0  46        1         0
#> 95.2  24.00      0  68        0         1
#> 62.1  24.00      0  71        0         0
#> 152.1 24.00      0  36        0         1
#> 64.1  24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 196.3 24.00      0  19        0         0
#> 135   24.00      0  58        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.672         NA        NA      NA
#> 2 age, Cure model           0.0100        NA        NA      NA
#> 3 grade_ii, Cure model      0.390         NA        NA      NA
#> 4 grade_iii, Cure model     0.902         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00562        NA        NA      NA
#> 2 grade_ii, Survival model   0.470          NA        NA      NA
#> 3 grade_iii, Survival model  0.319          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.671867          0.009996          0.390486          0.901760  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 259.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.671866964      0.009996429      0.390485801      0.901759679 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005619246      0.470396560      0.318738942 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.020357260 0.188189823 0.134288306 0.614048054 0.235250557 0.762132038
#>   [7] 0.669894043 0.706730931 0.669894043 0.484504887 0.706730931 0.762132038
#>  [13] 0.341825600 0.521134870 0.835789503 0.863683428 0.388929545 0.427350822
#>  [19] 0.484504887 0.388929545 0.641856671 0.909212245 0.918351247 0.038585153
#>  [25] 0.567652353 0.020357260 0.003247061 0.697418779 0.845090219 0.160905946
#>  [31] 0.586053437 0.669894043 0.817219990 0.595361546 0.891008181 0.972924171
#>  [37] 0.918351247 0.826506754 0.408237430 0.752892296 0.539754054 0.891008181
#>  [43] 0.313391371 0.780627088 0.455992778 0.245014168 0.079460289 0.088950459
#>  [49] 0.254842278 0.780627088 0.284073602 0.170013398 0.474940761 0.604709713
#>  [55] 0.539754054 0.408237430 0.651223197 0.972924171 0.170013398 0.264759195
#>  [61] 0.614048054 0.341825600 0.188189823 0.341825600 0.264759195 0.125083856
#>  [67] 0.341825600 0.106750585 0.936566123 0.188189823 0.313391371 0.863683428
#>  [73] 0.303570427 0.088950459 0.455992778 0.936566123 0.484504887 0.863683428
#>  [79] 0.484504887 0.049467069 0.614048054 0.134288306 0.116025648 0.379145237
#>  [85] 0.854388183 0.225571441 0.780627088 0.059911511 0.011600755 0.954800910
#>  [91] 0.743647524 0.567652353 0.215911224 0.446385730 0.069769133 0.651223197
#>  [97] 0.954800910 0.734384104 0.558310284 0.332297235 0.521134870 0.725160695
#> [103] 0.427350822 0.151769635 0.972924171 0.780627088 0.284073602 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   168   105   128    81   179    56   123   140 123.1    79 140.1  56.1   184 
#> 23.72 19.75 20.35 14.06 18.63 12.21 13.00 12.68 13.00 16.23 12.68 12.21 17.77 
#>    26    10   101    45   171  79.1  45.1    60   183    16   164    18 168.1 
#> 15.77 10.53  9.97 17.42 16.57 16.23 17.42 13.15  9.24  8.71 23.60 15.21 23.72 
#>    78    14    52   158   157 123.2   107   133   187    91  16.1   159   106 
#> 23.88 12.89 10.42 20.14 15.10 13.00 11.18 14.65  9.92  5.33  8.71 10.55 16.67 
#>    42   125 187.1    40    43   192     8   153    36    88  43.1    51   166 
#> 12.43 15.65  9.92 18.00 12.10 16.44 18.43 21.33 21.19 18.37 12.10 18.23 19.98 
#>     5    57 125.1 106.1   155  91.1 166.1   108  81.1 184.1 105.1 184.2 108.1 
#> 16.43 14.46 15.65 16.67 13.08  5.33 19.98 18.29 14.06 17.77 19.75 17.77 18.29 
#>    68 184.3    90    77 105.2  40.1 101.1    41  36.1    85  77.1  79.2 101.2 
#> 20.62 17.77 20.94  7.27 19.75 18.00  9.97 18.02 21.19 16.44  7.27 16.23  9.97 
#>  79.3    69  81.2 128.1    32    30    93    97  43.2    63    86    25    37 
#> 16.23 23.23 14.06 20.35 20.90 17.43 10.33 19.14 12.10 22.77 23.81  6.32 12.52 
#>  18.1    76   181   139 155.1  25.1   177    29   134  26.1   154 171.1   150 
#> 15.21 19.22 16.46 21.49 13.08  6.32 12.53 15.45 17.81 15.77 12.63 16.57 20.33 
#>  91.2  43.3  51.1    67   121    31   142     1   196   163   176   141     7 
#>  5.33 12.10 18.23 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    95   146   104   112   173    65 141.1   172    21    22    71  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 163.1    64   198   138   122    35  35.1 122.1  95.1  31.1    12   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   147    74   116     9 138.1    38 147.1   102 173.1   131   152  38.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.2  21.2    48 176.1 146.1  12.1    84  21.3  21.4 104.1    46   120 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83 102.1    17    62     3   1.1 196.1    53    11  71.1 185.1  83.1     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1  35.2   160 196.2    20  95.2  62.1 152.1  64.1   103 196.3   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[19]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005884943               0.441058272               0.151723896 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93101959              0.01345049              0.70813912 
#>   grade_iii, Cure model 
#>              1.04658175 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 175   21.91      1  43        0         0
#> 61    10.12      1  36        0         1
#> 56    12.21      1  60        0         0
#> 42    12.43      1  49        0         1
#> 96    14.54      1  33        0         1
#> 41    18.02      1  40        1         0
#> 69    23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 166   19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 23    16.92      1  61        0         0
#> 97    19.14      1  65        0         1
#> 18    15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 37    12.52      1  57        1         0
#> 37.1  12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 145   10.07      1  65        1         0
#> 43    12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 14    12.89      1  21        0         0
#> 124    9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 159   10.55      1  50        0         1
#> 88    18.37      1  47        0         0
#> 37.2  12.52      1  57        1         0
#> 41.1  18.02      1  40        1         0
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 57    14.46      1  45        0         1
#> 197   21.60      1  69        1         0
#> 41.2  18.02      1  40        1         0
#> 49    12.19      1  48        1         0
#> 43.1  12.10      1  61        0         1
#> 6     15.64      1  39        0         0
#> 129   23.41      1  53        1         0
#> 92    22.92      1  47        0         1
#> 24    23.89      1  38        0         0
#> 59    10.16      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 188   16.16      1  46        0         1
#> 167   15.55      1  56        1         0
#> 171.1 16.57      1  41        0         1
#> 166.1 19.98      1  48        0         0
#> 77     7.27      1  67        0         1
#> 25     6.32      1  34        1         0
#> 56.1  12.21      1  60        0         0
#> 164   23.60      1  76        0         1
#> 168   23.72      1  70        0         0
#> 8     18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 190   20.81      1  42        1         0
#> 154   12.63      1  20        1         0
#> 170   19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 154.1 12.63      1  20        1         0
#> 107   11.18      1  54        1         0
#> 89.1  11.44      1  NA        0         0
#> 92.1  22.92      1  47        0         1
#> 177   12.53      1  75        0         0
#> 188.1 16.16      1  46        0         1
#> 134.1 17.81      1  47        1         0
#> 78.1  23.88      1  43        0         0
#> 6.1   15.64      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 36    21.19      1  48        0         1
#> 41.3  18.02      1  40        1         0
#> 91     5.33      1  61        0         1
#> 179   18.63      1  42        0         0
#> 129.1 23.41      1  53        1         0
#> 59.1  10.16      1  NA        1         0
#> 99.1  21.19      1  38        0         1
#> 43.2  12.10      1  61        0         1
#> 51    18.23      1  83        0         1
#> 23.1  16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 194   22.40      1  38        0         1
#> 49.1  12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 36.1  21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 4     17.64      1  NA        0         1
#> 166.2 19.98      1  48        0         0
#> 130   16.47      1  53        0         1
#> 100   16.07      1  60        0         0
#> 92.2  22.92      1  47        0         1
#> 113   22.86      1  34        0         0
#> 139   21.49      1  63        1         0
#> 97.1  19.14      1  65        0         1
#> 89.2  11.44      1  NA        0         0
#> 157   15.10      1  47        0         0
#> 166.3 19.98      1  48        0         0
#> 155.1 13.08      1  26        0         0
#> 58    19.34      1  39        0         0
#> 194.1 22.40      1  38        0         1
#> 110   17.56      1  65        0         1
#> 150   20.33      1  48        0         0
#> 51.1  18.23      1  83        0         1
#> 76    19.22      1  54        0         1
#> 49.2  12.19      1  48        1         0
#> 63.2  22.77      1  31        1         0
#> 66    22.13      1  53        0         0
#> 36.2  21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 41.4  18.02      1  40        1         0
#> 149    8.37      1  33        1         0
#> 185   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 196   24.00      0  19        0         0
#> 143   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 198.1 24.00      0  66        0         1
#> 132   24.00      0  55        0         0
#> 200   24.00      0  64        0         0
#> 17.1  24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 34    24.00      0  36        0         0
#> 11.1  24.00      0  42        0         1
#> 162   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 67    24.00      0  25        0         0
#> 28    24.00      0  67        1         0
#> 84    24.00      0  39        0         1
#> 176   24.00      0  43        0         1
#> 135   24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 112   24.00      0  61        0         0
#> 120   24.00      0  68        0         1
#> 19    24.00      0  57        0         1
#> 119   24.00      0  17        0         0
#> 102.1 24.00      0  49        0         0
#> 44    24.00      0  56        0         0
#> 75    24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 102.2 24.00      0  49        0         0
#> 112.1 24.00      0  61        0         0
#> 119.1 24.00      0  17        0         0
#> 165   24.00      0  47        0         0
#> 109   24.00      0  48        0         0
#> 178.1 24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 2     24.00      0   9        0         0
#> 28.1  24.00      0  67        1         0
#> 109.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 46    24.00      0  71        0         0
#> 2.1   24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 67.1  24.00      0  25        0         0
#> 141.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 119.2 24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 2.2   24.00      0   9        0         0
#> 1     24.00      0  23        1         0
#> 162.1 24.00      0  51        0         0
#> 2.3   24.00      0   9        0         0
#> 74    24.00      0  43        0         1
#> 33.1  24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 28.2  24.00      0  67        1         0
#> 98    24.00      0  34        1         0
#> 2.4   24.00      0   9        0         0
#> 135.1 24.00      0  58        1         0
#> 116.1 24.00      0  58        0         1
#> 161.1 24.00      0  45        0         0
#> 44.1  24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 131.1 24.00      0  66        0         0
#> 2.5   24.00      0   9        0         0
#> 75.1  24.00      0  21        1         0
#> 1.1   24.00      0  23        1         0
#> 64    24.00      0  43        0         0
#> 119.3 24.00      0  17        0         0
#> 7     24.00      0  37        1         0
#> 1.2   24.00      0  23        1         0
#> 115   24.00      0  NA        1         0
#> 64.1  24.00      0  43        0         0
#> 151.1 24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.931         NA        NA      NA
#> 2 age, Cure model           0.0135        NA        NA      NA
#> 3 grade_ii, Cure model      0.708         NA        NA      NA
#> 4 grade_iii, Cure model     1.05          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00588        NA        NA      NA
#> 2 grade_ii, Survival model   0.441          NA        NA      NA
#> 3 grade_iii, Survival model  0.152          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93102           0.01345           0.70814           1.04658  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 249.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93101959       0.01345049       0.70813912       1.04658175 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005884943      0.441058272      0.151723896 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.35772280 0.95817000 0.88986943 0.88341290 0.80333096 0.60384784
#>   [7] 0.20179816 0.64293037 0.47849748 0.97031052 0.67343303 0.54256314
#>  [13] 0.77559508 0.82385487 0.86410711 0.86410711 0.44940745 0.96426469
#>  [19] 0.92135089 0.27379459 0.83735304 0.95205827 0.94593783 0.57800234
#>  [25] 0.86410711 0.60384784 0.68849036 0.39149975 0.71825920 0.81021022
#>  [31] 0.36943155 0.60384784 0.90265735 0.92135089 0.75442019 0.16933461
#>  [37] 0.21826085 0.03253981 0.07239064 0.27379459 0.72559804 0.76856519
#>  [43] 0.68849036 0.47849748 0.98227208 0.98821042 0.88986943 0.14725179
#>  [49] 0.12208858 0.56914832 0.45918490 0.43956674 0.84412234 0.51492083
#>  [55] 0.71083418 0.84412234 0.93979506 0.21826085 0.85744734 0.72559804
#>  [61] 0.64293037 0.07239064 0.75442019 0.64293037 0.39149975 0.60384784
#>  [67] 0.99411686 0.56026567 0.16933461 0.39149975 0.92135089 0.58681335
#>  [73] 0.67343303 0.81705943 0.32237735 0.90265735 0.79642727 0.74727952
#>  [79] 0.39149975 0.30997219 0.47849748 0.70339082 0.74004864 0.21826085
#>  [85] 0.25944581 0.38066578 0.54256314 0.78255720 0.47849748 0.82385487
#>  [91] 0.52419460 0.32237735 0.66578757 0.46887364 0.58681335 0.53342624
#>  [97] 0.90265735 0.27379459 0.34590269 0.39149975 0.78949965 0.60384784
#> [103] 0.97630756 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   175    61    56    42    96    41    69   134   166   183    23    97    18 
#> 21.91 10.12 12.21 12.43 14.54 18.02 23.23 17.81 19.98  9.24 16.92 19.14 15.21 
#>   155    37  37.1    68   145    43    63    14    10   159    88  37.2  41.1 
#> 13.08 12.52 12.52 20.62 10.07 12.10 22.77 12.89 10.53 10.55 18.37 12.52 18.02 
#>   171    99    79    57   197  41.2    49  43.1     6   129    92    24    78 
#> 16.57 21.19 16.23 14.46 21.60 18.02 12.19 12.10 15.64 23.41 22.92 23.89 23.88 
#>  63.1   188   167 171.1 166.1    77    25  56.1   164   168     8   128   190 
#> 22.77 16.16 15.55 16.57 19.98  7.27  6.32 12.21 23.60 23.72 18.43 20.35 20.81 
#>   154   170    85 154.1   107  92.1   177 188.1 134.1  78.1   6.1 134.2    36 
#> 12.63 19.54 16.44 12.63 11.18 22.92 12.53 16.16 17.81 23.88 15.64 17.81 21.19 
#>  41.3    91   179 129.1  99.1  43.2    51  23.1    60   194  49.1   133   125 
#> 18.02  5.33 18.63 23.41 21.19 12.10 18.23 16.92 13.15 22.40 12.19 14.65 15.65 
#>  36.1   169 166.2   130   100  92.2   113   139  97.1   157 166.3 155.1    58 
#> 21.19 22.41 19.98 16.47 16.07 22.92 22.86 21.49 19.14 15.10 19.98 13.08 19.34 
#> 194.1   110   150  51.1    76  49.2  63.2    66  36.2   180  41.4   149   185 
#> 22.40 17.56 20.33 18.23 19.22 12.19 22.77 22.13 21.19 14.82 18.02  8.37 24.00 
#>    17   141   198   196   143    11 198.1   132   200  17.1   116    34  11.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162   102   178   122    82   160    33    67    28    84   176   135   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112   120    19   119 102.1    44    75   104   147 102.2 112.1 119.1   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109 178.1   144     2  28.1 109.1    12    46   2.1   131 200.1  67.1 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151 119.2 120.1   2.2     1 162.1   2.3    74  33.1   138   161    87  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   2.4 135.1 116.1 161.1  44.1   146 131.1   2.5  75.1   1.1    64 119.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7   1.2  64.1 151.1    71    48   172 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[20]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001267178               0.203575529               0.219974418 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.140712057             0.001008072            -0.003533644 
#>   grade_iii, Cure model 
#>             0.761797462 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 189   10.51      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 5     16.43      1  51        0         1
#> 30    17.43      1  78        0         0
#> 78    23.88      1  43        0         0
#> 129   23.41      1  53        1         0
#> 26    15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 26.1  15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 101    9.97      1  10        0         1
#> 167   15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 88    18.37      1  47        0         0
#> 18    15.21      1  49        1         0
#> 136   21.83      1  43        0         1
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 158   20.14      1  74        1         0
#> 61    10.12      1  36        0         1
#> 6.1   15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 125   15.65      1  67        1         0
#> 180   14.82      1  37        0         0
#> 60    13.15      1  38        1         0
#> 199   19.81      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 107   11.18      1  54        1         0
#> 180.1 14.82      1  37        0         0
#> 199.1 19.81      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 39    15.59      1  37        0         1
#> 139   21.49      1  63        1         0
#> 68    20.62      1  44        0         0
#> 55    19.34      1  69        0         1
#> 24    23.89      1  38        0         0
#> 16.1   8.71      1  71        0         1
#> 32    20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 134   17.81      1  47        1         0
#> 100   16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 127    3.53      1  62        0         1
#> 59    10.16      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 39.1  15.59      1  37        0         1
#> 181   16.46      1  45        0         1
#> 59.1  10.16      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 8     18.43      1  32        0         0
#> 99    21.19      1  38        0         1
#> 107.1 11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 190   20.81      1  42        1         0
#> 52    10.42      1  52        0         1
#> 32.1  20.90      1  37        1         0
#> 164   23.60      1  76        0         1
#> 177   12.53      1  75        0         0
#> 14    12.89      1  21        0         0
#> 92.1  22.92      1  47        0         1
#> 13    14.34      1  54        0         1
#> 43    12.10      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 32.2  20.90      1  37        1         0
#> 192   16.44      1  31        1         0
#> 134.1 17.81      1  47        1         0
#> 145   10.07      1  65        1         0
#> 124    9.73      1  NA        1         0
#> 43.1  12.10      1  61        0         1
#> 150   20.33      1  48        0         0
#> 189.1 10.51      1  NA        1         0
#> 43.2  12.10      1  61        0         1
#> 171.1 16.57      1  41        0         1
#> 166   19.98      1  48        0         0
#> 63    22.77      1  31        1         0
#> 171.2 16.57      1  41        0         1
#> 61.1  10.12      1  36        0         1
#> 113   22.86      1  34        0         0
#> 10    10.53      1  34        0         0
#> 57    14.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 136.1 21.83      1  43        0         1
#> 45    17.42      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 99.1  21.19      1  38        0         1
#> 171.3 16.57      1  41        0         1
#> 14.1  12.89      1  21        0         0
#> 10.1  10.53      1  34        0         0
#> 76    19.22      1  54        0         1
#> 61.2  10.12      1  36        0         1
#> 18.1  15.21      1  49        1         0
#> 105   19.75      1  60        0         0
#> 43.3  12.10      1  61        0         1
#> 190.2 20.81      1  42        1         0
#> 43.4  12.10      1  61        0         1
#> 168   23.72      1  70        0         0
#> 124.1  9.73      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 29    15.45      1  68        1         0
#> 56    12.21      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 139.2 21.49      1  63        1         0
#> 166.1 19.98      1  48        0         0
#> 180.2 14.82      1  37        0         0
#> 4     17.64      1  NA        0         1
#> 10.2  10.53      1  34        0         0
#> 100.1 16.07      1  60        0         0
#> 111   17.45      1  47        0         1
#> 123   13.00      1  44        1         0
#> 15.1  22.68      1  48        0         0
#> 149    8.37      1  33        1         0
#> 183    9.24      1  67        1         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 17    24.00      0  38        0         1
#> 152   24.00      0  36        0         1
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 1     24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 152.1 24.00      0  36        0         1
#> 121   24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 146   24.00      0  63        1         0
#> 48    24.00      0  31        1         0
#> 19.1  24.00      0  57        0         1
#> 64    24.00      0  43        0         0
#> 62    24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 148   24.00      0  61        1         0
#> 118   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 198.1 24.00      0  66        0         1
#> 109   24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 200   24.00      0  64        0         0
#> 65.1  24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 28    24.00      0  67        1         0
#> 185   24.00      0  44        1         0
#> 104.1 24.00      0  50        1         0
#> 148.1 24.00      0  61        1         0
#> 198.2 24.00      0  66        0         1
#> 135   24.00      0  58        1         0
#> 193   24.00      0  45        0         1
#> 143   24.00      0  51        0         0
#> 148.2 24.00      0  61        1         0
#> 152.2 24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 137   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 34.1  24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 161.1 24.00      0  45        0         0
#> 191   24.00      0  60        0         1
#> 138.1 24.00      0  44        1         0
#> 196.1 24.00      0  19        0         0
#> 27    24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 191.1 24.00      0  60        0         1
#> 122   24.00      0  66        0         0
#> 198.3 24.00      0  66        0         1
#> 118.1 24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 116   24.00      0  58        0         1
#> 185.1 24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 94    24.00      0  51        0         1
#> 126   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 163.1 24.00      0  66        0         0
#> 62.1  24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 146.1 24.00      0  63        1         0
#> 64.1  24.00      0  43        0         0
#> 98    24.00      0  34        1         0
#> 137.2 24.00      0  45        1         0
#> 75.1  24.00      0  21        1         0
#> 83.1  24.00      0   6        0         0
#> 138.2 24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 200.1 24.00      0  64        0         0
#> 163.2 24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 65.2  24.00      0  57        1         0
#> 95    24.00      0  68        0         1
#> 104.2 24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.141          NA        NA      NA
#> 2 age, Cure model          0.00101        NA        NA      NA
#> 3 grade_ii, Cure model    -0.00353        NA        NA      NA
#> 4 grade_iii, Cure model    0.762          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00127        NA        NA      NA
#> 2 grade_ii, Survival model   0.204          NA        NA      NA
#> 3 grade_iii, Survival model  0.220          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.140712          0.001008         -0.003534          0.761797  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 257.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.140712057      0.001008072     -0.003533644      0.761797462 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001267178      0.203575529      0.219974418 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.53612691 0.58897133 0.51772519 0.03066048 0.09727993 0.61532512
#>   [7] 0.82577063 0.61532512 0.49918102 0.95303763 0.68407695 0.64986990
#>  [13] 0.45235501 0.70111802 0.19980583 0.25521866 0.35566089 0.38496271
#>  [19] 0.92151853 0.64986990 0.17576033 0.63267633 0.72633102 0.77624127
#>  [25] 0.45235501 0.87366452 0.72633102 0.96880787 0.66704048 0.22297502
#>  [31] 0.34562625 0.42363509 0.01182229 0.96880787 0.28624188 0.71789767
#>  [37] 0.48065720 0.59781305 0.63267633 0.99221104 0.22297502 0.66704048
#>  [43] 0.57116251 0.12566121 0.44281102 0.25521866 0.87366452 0.11172679
#>  [49] 0.31634065 0.91351884 0.28624188 0.08213972 0.80926062 0.79281165
#>  [55] 0.12566121 0.75968330 0.83399746 0.31634065 0.28624188 0.58008571
#>  [61] 0.48065720 0.94512452 0.83399746 0.37511987 0.83399746 0.53612691
#>  [67] 0.39471918 0.16318660 0.53612691 0.92151853 0.15034144 0.88966078
#>  [73] 0.75129727 0.04930173 0.19980583 0.52695290 0.75968330 0.25521866
#>  [79] 0.53612691 0.79281165 0.88966078 0.43325851 0.92151853 0.70111802
#>  [85] 0.41393235 0.83399746 0.31634065 0.83399746 0.06589856 0.47119349
#>  [91] 0.69261510 0.81751892 0.35566089 0.22297502 0.39471918 0.72633102
#>  [97] 0.88966078 0.59781305 0.50848036 0.78453941 0.17576033 0.98440075
#> [103] 0.96093357 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   171     5    30    78   129    26    49  26.1   117   101   167     6    88 
#> 16.57 16.43 17.43 23.88 23.41 15.77 12.19 15.77 17.46  9.97 15.55 15.64 18.37 
#>    18   136    36   128   158    61   6.1    15   125   180    60  88.1   107 
#> 15.21 21.83 21.19 20.35 20.14 10.12 15.64 22.68 15.65 14.82 13.15 18.37 11.18 
#> 180.1    16    39   139    68    55    24  16.1    32   157   134   100 125.1 
#> 14.82  8.71 15.59 21.49 20.62 19.34 23.89  8.71 20.90 15.10 17.81 16.07 15.65 
#>   127 139.1  39.1   181    92     8    99 107.1    69   190    52  32.1   164 
#>  3.53 21.49 15.59 16.46 22.92 18.43 21.19 11.18 23.23 20.81 10.42 20.90 23.60 
#>   177    14  92.1    13    43 190.1  32.2   192 134.1   145  43.1   150  43.2 
#> 12.53 12.89 22.92 14.34 12.10 20.81 20.90 16.44 17.81 10.07 12.10 20.33 12.10 
#> 171.1   166    63 171.2  61.1   113    10    57    86 136.1    45  13.1  99.1 
#> 16.57 19.98 22.77 16.57 10.12 22.86 10.53 14.46 23.81 21.83 17.42 14.34 21.19 
#> 171.3  14.1  10.1    76  61.2  18.1   105  43.3 190.2  43.4   168    40    29 
#> 16.57 12.89 10.53 19.22 10.12 15.21 19.75 12.10 20.81 12.10 23.72 18.00 15.45 
#>    56 128.1 139.2 166.1 180.2  10.2 100.1   111   123  15.1   149   183    21 
#> 12.21 20.35 21.49 19.98 14.82 10.53 16.07 17.45 13.00 22.68  8.37  9.24 24.00 
#>    72    19    67    17   152   102    82     1   138   198 152.1   121   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146    48  19.1    64    62   160 102.1   148   118    84   161    65 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   109    53   200  65.1   196    28   185 104.1 148.1 198.2   135   193   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 148.2 152.2    34   137   120  34.1 137.1    12 161.1   191 138.1 196.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1   162   132 191.1   122 198.3 118.1     2   116 185.1    75   163    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126    83 163.1  62.1    38 146.1  64.1    98 137.2  75.1  83.1 138.2    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   178 126.1 200.1 163.2   182  65.2    95 104.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[21]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003584174               0.405768599               0.297457763 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18834688              0.01323261              1.07467160 
#>   grade_iii, Cure model 
#>              1.32981345 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 181   16.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 145   10.07      1  65        1         0
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 49    12.19      1  48        1         0
#> 184   17.77      1  38        0         0
#> 59    10.16      1  NA        1         0
#> 41    18.02      1  40        1         0
#> 42    12.43      1  49        0         1
#> 149    8.37      1  33        1         0
#> 52    10.42      1  52        0         1
#> 127    3.53      1  62        0         1
#> 90    20.94      1  50        0         1
#> 85    16.44      1  36        0         0
#> 108   18.29      1  39        0         1
#> 101    9.97      1  10        0         1
#> 150   20.33      1  48        0         0
#> 181.1 16.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 25     6.32      1  34        1         0
#> 129   23.41      1  53        1         0
#> 197   21.60      1  69        1         0
#> 40    18.00      1  28        1         0
#> 8     18.43      1  32        0         0
#> 199   19.81      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 108.1 18.29      1  39        0         1
#> 36    21.19      1  48        0         1
#> 42.1  12.43      1  49        0         1
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 106   16.67      1  49        1         0
#> 5     16.43      1  51        0         1
#> 89    11.44      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 4     17.64      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 16     8.71      1  71        0         1
#> 188   16.16      1  46        0         1
#> 139   21.49      1  63        1         0
#> 157   15.10      1  47        0         0
#> 145.1 10.07      1  65        1         0
#> 40.1  18.00      1  28        1         0
#> 61    10.12      1  36        0         1
#> 70     7.38      1  30        1         0
#> 180   14.82      1  37        0         0
#> 91     5.33      1  61        0         1
#> 61.1  10.12      1  36        0         1
#> 189.1 10.51      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 183    9.24      1  67        1         0
#> 18.1  15.21      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 136   21.83      1  43        0         1
#> 81.1  14.06      1  34        0         0
#> 124.1  9.73      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 184.1 17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 157.1 15.10      1  47        0         0
#> 129.1 23.41      1  53        1         0
#> 167   15.55      1  56        1         0
#> 188.1 16.16      1  46        0         1
#> 154   12.63      1  20        1         0
#> 79    16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 164   23.60      1  76        0         1
#> 92    22.92      1  47        0         1
#> 192   16.44      1  31        1         0
#> 16.1   8.71      1  71        0         1
#> 192.1 16.44      1  31        1         0
#> 45    17.42      1  54        0         1
#> 169.1 22.41      1  46        0         0
#> 175   21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 194.1 22.40      1  38        0         1
#> 58    19.34      1  39        0         0
#> 90.1  20.94      1  50        0         1
#> 114   13.68      1  NA        0         0
#> 90.2  20.94      1  50        0         1
#> 58.1  19.34      1  39        0         0
#> 154.1 12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 45.1  17.42      1  54        0         1
#> 63.1  22.77      1  31        1         0
#> 18.2  15.21      1  49        1         0
#> 175.1 21.91      1  43        0         0
#> 52.1  10.42      1  52        0         1
#> 108.2 18.29      1  39        0         1
#> 18.3  15.21      1  49        1         0
#> 179   18.63      1  42        0         0
#> 76    19.22      1  54        0         1
#> 93    10.33      1  52        0         1
#> 189.2 10.51      1  NA        1         0
#> 49.1  12.19      1  48        1         0
#> 145.2 10.07      1  65        1         0
#> 158   20.14      1  74        1         0
#> 158.1 20.14      1  74        1         0
#> 23    16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 99    21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 66    22.13      1  53        0         0
#> 56    12.21      1  60        0         0
#> 69    23.23      1  25        0         1
#> 40.2  18.00      1  28        1         0
#> 127.1  3.53      1  62        0         1
#> 68    20.62      1  44        0         0
#> 99.1  21.19      1  38        0         1
#> 80    24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 163   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 112   24.00      0  61        0         0
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 94    24.00      0  51        0         1
#> 71    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 135   24.00      0  58        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 3     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 121   24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 47    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 132   24.00      0  55        0         0
#> 141.1 24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 74    24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 67    24.00      0  25        0         0
#> 35.1  24.00      0  51        0         0
#> 82.1  24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 71.1  24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 172   24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 178   24.00      0  52        1         0
#> 82.2  24.00      0  34        0         0
#> 132.1 24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 72.1  24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 162   24.00      0  51        0         0
#> 34.1  24.00      0  36        0         0
#> 148.1 24.00      0  61        1         0
#> 162.1 24.00      0  51        0         0
#> 20.1  24.00      0  46        1         0
#> 151.1 24.00      0  42        0         0
#> 47.1  24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 2.1   24.00      0   9        0         0
#> 119   24.00      0  17        0         0
#> 19    24.00      0  57        0         1
#> 47.2  24.00      0  38        0         1
#> 178.1 24.00      0  52        1         0
#> 35.2  24.00      0  51        0         0
#> 162.2 24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 112.1 24.00      0  61        0         0
#> 131   24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 142.1 24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 62.1  24.00      0  71        0         0
#> 84.1  24.00      0  39        0         1
#> 161.1 24.00      0  45        0         0
#> 116   24.00      0  58        0         1
#> 104.1 24.00      0  50        1         0
#> 126.1 24.00      0  48        0         0
#> 53.1  24.00      0  32        0         1
#> 67.1  24.00      0  25        0         0
#> 33    24.00      0  53        0         0
#> 9.1   24.00      0  31        1         0
#> 141.2 24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 73.1  24.00      0  NA        0         1
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.19          NA        NA      NA
#> 2 age, Cure model           0.0132        NA        NA      NA
#> 3 grade_ii, Cure model      1.07          NA        NA      NA
#> 4 grade_iii, Cure model     1.33          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00358        NA        NA      NA
#> 2 grade_ii, Survival model   0.406          NA        NA      NA
#> 3 grade_iii, Survival model  0.297          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.18835           0.01323           1.07467           1.32981  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 241 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18834688       0.01323261       1.07467160       1.32981345 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003584174      0.405768599      0.297457763 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.560554164 0.294195014 0.884350707 0.747498274 0.811798297 0.482978300
#>   [7] 0.434633839 0.784322045 0.946840043 0.839128395 0.982383891 0.264729754
#>  [13] 0.579732611 0.405125789 0.911089050 0.314380021 0.560554164 0.084277881
#>  [19] 0.964656540 0.037933250 0.202583918 0.444631774 0.394910866 0.674155227
#>  [25] 0.405125789 0.234850989 0.784322045 0.224210151 0.738217033 0.550832579
#>  [31] 0.607999721 0.645886504 0.096231757 0.929023121 0.627072932 0.213450967
#>  [37] 0.710452295 0.884350707 0.444631774 0.866330842 0.955762717 0.728912839
#>  [43] 0.973523524 0.866330842 0.344383298 0.920063956 0.674155227 0.138399541
#>  [49] 0.191616015 0.747498274 0.512003184 0.482978300 0.006026546 0.710452295
#>  [55] 0.037933250 0.655337832 0.627072932 0.765997915 0.617553734 0.117022613
#>  [61] 0.021787699 0.072517827 0.579732611 0.929023121 0.579732611 0.521778063
#>  [67] 0.117022613 0.170124375 0.830000589 0.138399541 0.354494379 0.264729754
#>  [73] 0.264729754 0.354494379 0.765997915 0.502273612 0.521778063 0.096231757
#>  [79] 0.674155227 0.170124375 0.839128395 0.405125789 0.674155227 0.384724508
#>  [85] 0.374575715 0.857238697 0.811798297 0.884350707 0.324548703 0.324548703
#>  [91] 0.541066395 0.473282188 0.234850989 0.664758241 0.159221088 0.802590896
#>  [97] 0.060494328 0.444631774 0.982383891 0.304263083 0.234850989 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000
#> 
#> $Time
#>   181   190   145    81    49   184    41    42   149    52   127    90    85 
#> 16.46 20.81 10.07 14.06 12.19 17.77 18.02 12.43  8.37 10.42  3.53 20.94 16.44 
#>   108   101   150 181.1   113    25   129   197    40     8    18 108.1    36 
#> 18.29  9.97 20.33 16.46 22.86  6.32 23.41 21.60 18.00 18.43 15.21 18.29 21.19 
#>  42.1   153    96   106     5   125    63    16   188   139   157 145.1  40.1 
#> 12.43 21.33 14.54 16.67 16.43 15.65 22.77  8.71 16.16 21.49 15.10 10.07 18.00 
#>    61    70   180    91  61.1   166   183  18.1   194   136  81.1    30 184.1 
#> 10.12  7.38 14.82  5.33 10.12 19.98  9.24 15.21 22.40 21.83 14.06 17.43 17.77 
#>   168 157.1 129.1   167 188.1   154    79   169   164    92   192  16.1 192.1 
#> 23.72 15.10 23.41 15.55 16.16 12.63 16.23 22.41 23.60 22.92 16.44  8.71 16.44 
#>    45 169.1   175   107 194.1    58  90.1  90.2  58.1 154.1   110  45.1  63.1 
#> 17.42 22.41 21.91 11.18 22.40 19.34 20.94 20.94 19.34 12.63 17.56 17.42 22.77 
#>  18.2 175.1  52.1 108.2  18.3   179    76    93  49.1 145.2   158 158.1    23 
#> 15.21 21.91 10.42 18.29 15.21 18.63 19.22 10.33 12.19 10.07 20.14 20.14 16.92 
#>   134    99    29    66    56    69  40.2 127.1    68  99.1    80    11   163 
#> 17.81 21.19 15.45 22.13 12.21 23.23 18.00  3.53 20.62 21.19 24.00 24.00 24.00 
#>    82   112     9   152   141   146    94    71    64   135   200    72    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3    46    35   121    53    47    34   132 141.1    83   142   148    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    98   173    67  35.1  82.1     2  71.1    27   172   161   178  82.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1    20    87    62  72.1    75   104   162  34.1 148.1 162.1  20.1 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1   196   2.1   119    19  47.2 178.1  35.2 162.2     1 112.1   131   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    84   174 142.1  62.1  84.1 161.1   116 104.1 126.1  53.1  67.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1 141.2  80.1   191    95 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[22]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01318131                0.54265599                0.17910662 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.221053719            -0.008552367             0.454132395 
#>   grade_iii, Cure model 
#>             0.706633003 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 8     18.43      1  32        0         0
#> 4     17.64      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 159   10.55      1  50        0         1
#> 150   20.33      1  48        0         0
#> 70     7.38      1  30        1         0
#> 92.1  22.92      1  47        0         1
#> 169   22.41      1  46        0         0
#> 79    16.23      1  54        1         0
#> 105   19.75      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 175   21.91      1  43        0         0
#> 145   10.07      1  65        1         0
#> 106   16.67      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 127    3.53      1  62        0         1
#> 10    10.53      1  34        0         0
#> 99    21.19      1  38        0         1
#> 49    12.19      1  48        1         0
#> 150.1 20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 113   22.86      1  34        0         0
#> 180   14.82      1  37        0         0
#> 181   16.46      1  45        0         1
#> 29    15.45      1  68        1         0
#> 197   21.60      1  69        1         0
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 92.2  22.92      1  47        0         1
#> 86    23.81      1  58        0         1
#> 32    20.90      1  37        1         0
#> 153   21.33      1  55        1         0
#> 169.1 22.41      1  46        0         0
#> 40    18.00      1  28        1         0
#> 77     7.27      1  67        0         1
#> 194   22.40      1  38        0         1
#> 43    12.10      1  61        0         1
#> 78    23.88      1  43        0         0
#> 41.1  18.02      1  40        1         0
#> 13    14.34      1  54        0         1
#> 159.2 10.55      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 32.1  20.90      1  37        1         0
#> 106.1 16.67      1  49        1         0
#> 123   13.00      1  44        1         0
#> 45    17.42      1  54        0         1
#> 149    8.37      1  33        1         0
#> 32.2  20.90      1  37        1         0
#> 39    15.59      1  37        0         1
#> 181.1 16.46      1  45        0         1
#> 32.3  20.90      1  37        1         0
#> 153.1 21.33      1  55        1         0
#> 117   17.46      1  26        0         1
#> 81    14.06      1  34        0         0
#> 69.1  23.23      1  25        0         1
#> 96    14.54      1  33        0         1
#> 90.1  20.94      1  50        0         1
#> 61    10.12      1  36        0         1
#> 179.1 18.63      1  42        0         0
#> 170   19.54      1  43        0         1
#> 42    12.43      1  49        0         1
#> 114   13.68      1  NA        0         0
#> 89    11.44      1  NA        0         0
#> 108   18.29      1  39        0         1
#> 96.1  14.54      1  33        0         1
#> 145.1 10.07      1  65        1         0
#> 14    12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 184   17.77      1  38        0         0
#> 155   13.08      1  26        0         0
#> 117.1 17.46      1  26        0         1
#> 105.1 19.75      1  60        0         0
#> 139   21.49      1  63        1         0
#> 68    20.62      1  44        0         0
#> 179.2 18.63      1  42        0         0
#> 49.1  12.19      1  48        1         0
#> 159.3 10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 180.1 14.82      1  37        0         0
#> 26    15.77      1  49        0         1
#> 18    15.21      1  49        1         0
#> 114.1 13.68      1  NA        0         0
#> 14.1  12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 100   16.07      1  60        0         0
#> 16     8.71      1  71        0         1
#> 123.1 13.00      1  44        1         0
#> 86.1  23.81      1  58        0         1
#> 149.1  8.37      1  33        1         0
#> 179.3 18.63      1  42        0         0
#> 26.1  15.77      1  49        0         1
#> 61.1  10.12      1  36        0         1
#> 190   20.81      1  42        1         0
#> 100.1 16.07      1  60        0         0
#> 39.1  15.59      1  37        0         1
#> 154   12.63      1  20        1         0
#> 164   23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 139.1 21.49      1  63        1         0
#> 154.1 12.63      1  20        1         0
#> 66    22.13      1  53        0         0
#> 86.2  23.81      1  58        0         1
#> 184.1 17.77      1  38        0         0
#> 77.1   7.27      1  67        0         1
#> 187    9.92      1  39        1         0
#> 134   17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 182   24.00      0  35        0         0
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 7     24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 21    24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 156   24.00      0  50        1         0
#> 7.1   24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 141   24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 87.1  24.00      0  27        0         0
#> 196.1 24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 126   24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 115   24.00      0  NA        1         0
#> 1     24.00      0  23        1         0
#> 3.1   24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 138   24.00      0  44        1         0
#> 196.2 24.00      0  19        0         0
#> 118   24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 74    24.00      0  43        0         1
#> 46.1  24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 178   24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 152   24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 17.1  24.00      0  38        0         1
#> 120.1 24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 48    24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 17.2  24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 7.3   24.00      0  37        1         0
#> 172   24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 21.1  24.00      0  47        0         0
#> 7.4   24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 95.1  24.00      0  68        0         1
#> 132.2 24.00      0  55        0         0
#> 74.2  24.00      0  43        0         1
#> 46.2  24.00      0  71        0         0
#> 120.2 24.00      0  68        0         1
#> 28.1  24.00      0  67        1         0
#> 196.3 24.00      0  19        0         0
#> 146   24.00      0  63        1         0
#> 196.4 24.00      0  19        0         0
#> 118.1 24.00      0  44        1         0
#> 174   24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 126.1 24.00      0  48        0         0
#> 116.1 24.00      0  58        0         1
#> 84    24.00      0  39        0         1
#> 142.1 24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 80    24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 162.1 24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 196.5 24.00      0  19        0         0
#> 47.1  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.221          NA        NA      NA
#> 2 age, Cure model         -0.00855        NA        NA      NA
#> 3 grade_ii, Cure model     0.454          NA        NA      NA
#> 4 grade_iii, Cure model    0.707          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0132        NA        NA      NA
#> 2 grade_ii, Survival model    0.543         NA        NA      NA
#> 3 grade_iii, Survival model   0.179         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.221054         -0.008552          0.454132          0.706633  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 262.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.221053719     -0.008552367      0.454132395      0.706633003 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01318131       0.54265599       0.17910662 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2914334049 0.3110609915 0.0297407221 0.5258652257 0.7671195304
#>   [6] 0.2023777962 0.9252354433 0.0297407221 0.0550264188 0.4511550291
#>  [11] 0.2190989127 0.9252354433 0.0805025483 0.8511406704 0.3999410529
#>  [16] 0.7671195304 0.9873173999 0.8145578360 0.1318625657 0.7318994417
#>  [21] 0.2023777962 0.2455486804 0.0492158525 0.5590552602 0.2546837986
#>  [26] 0.0437104111 0.5702585803 0.4201896221 0.5368761034 0.0875965602
#>  [31] 0.0211405139 0.1397950963 0.0297407221 0.0042636777 0.1558876187
#>  [36] 0.1167178030 0.0550264188 0.3304487352 0.9498104939 0.0671406513
#>  [41] 0.7552610656 0.0018182197 0.3110609915 0.6155032730 0.7671195304
#>  [46] 0.0875965602 0.1558876187 0.3999410529 0.6503868781 0.3897367107
#>  [51] 0.9005564728 0.1558876187 0.5041539080 0.4201896221 0.1558876187
#>  [56] 0.1167178030 0.3698078476 0.6270589129 0.0211405139 0.5927834336
#>  [61] 0.1397950963 0.8267511602 0.2546837986 0.2365481738 0.7201564713
#>  [66] 0.3012016822 0.5927834336 0.8511406704 0.6735967509 0.0003491229
#>  [71] 0.3500399798 0.6386919901 0.3698078476 0.2190989127 0.1018957822
#>  [76] 0.1941624675 0.2546837986 0.7318994417 0.7671195304 0.9747111886
#>  [81] 0.5702585803 0.4826881525 0.5479546723 0.6735967509 0.4407746329
#>  [86] 0.4615727322 0.8880921921 0.6503868781 0.0042636777 0.9005564728
#>  [91] 0.2546837986 0.4826881525 0.8267511602 0.1860973464 0.4615727322
#>  [96] 0.5041539080 0.6970016852 0.0122435286 0.0166028855 0.1018957822
#> [101] 0.6970016852 0.0736692795 0.0042636777 0.3500399798 0.9498104939
#> [106] 0.8757200848 0.3402339156 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>     8    41    92   167   159   150    70  92.1   169    79   105  70.1   175 
#> 18.43 18.02 22.92 15.55 10.55 20.33  7.38 22.92 22.41 16.23 19.75  7.38 21.91 
#>   145   106 159.1   127    10    99    49 150.1    58    15   157   179   113 
#> 10.07 16.67 10.55  3.53 10.53 21.19 12.19 20.33 19.34 22.68 15.10 18.63 22.86 
#>   180   181    29   197    69    90  92.2    86    32   153 169.1    40    77 
#> 14.82 16.46 15.45 21.60 23.23 20.94 22.92 23.81 20.90 21.33 22.41 18.00  7.27 
#>   194    43    78  41.1    13 159.2 197.1  32.1 106.1   123    45   149  32.2 
#> 22.40 12.10 23.88 18.02 14.34 10.55 21.60 20.90 16.67 13.00 17.42  8.37 20.90 
#>    39 181.1  32.3 153.1   117    81  69.1    96  90.1    61 179.1   170    42 
#> 15.59 16.46 20.90 21.33 17.46 14.06 23.23 14.54 20.94 10.12 18.63 19.54 12.43 
#>   108  96.1 145.1    14    24   184   155 117.1 105.1   139    68 179.2  49.1 
#> 18.29 14.54 10.07 12.89 23.89 17.77 13.08 17.46 19.75 21.49 20.62 18.63 12.19 
#> 159.3    91 180.1    26    18  14.1   192   100    16 123.1  86.1 149.1 179.3 
#> 10.55  5.33 14.82 15.77 15.21 12.89 16.44 16.07  8.71 13.00 23.81  8.37 18.63 
#>  26.1  61.1   190 100.1  39.1   154   164   129 139.1 154.1    66  86.2 184.1 
#> 15.77 10.12 20.81 16.07 15.59 12.63 23.60 23.41 21.49 12.63 22.13 23.81 17.77 
#>  77.1   187   134   182   103    95    17    94     7   196    46    38    87 
#>  7.27  9.92 17.81 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   142   156   7.1    12    34   141   7.2  87.1 196.1    33    54     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    72   126   132     1   3.1  33.1    28    67   138 196.2   118   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    74  46.1   120   178   112   152    75  17.1 120.1    20   148    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   165   176   162  17.2  74.1    47   161    19   7.3   172 132.1  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.4    27  95.1 132.2  74.2  46.2 120.2  28.1 196.3   146 196.4 118.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 126.1 116.1    84 142.1   198    80    64 162.1   143 196.5  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[23]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003711743               0.369737682               0.433539370 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.385207395            -0.007175742             0.164989830 
#>   grade_iii, Cure model 
#>             0.218251416 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 45    17.42      1  54        0         1
#> 184   17.77      1  38        0         0
#> 66    22.13      1  53        0         0
#> 110   17.56      1  65        0         1
#> 130   16.47      1  53        0         1
#> 149    8.37      1  33        1         0
#> 26    15.77      1  49        0         1
#> 117   17.46      1  26        0         1
#> 139   21.49      1  63        1         0
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 5     16.43      1  51        0         1
#> 41    18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 157   15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 6     15.64      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 6.1   15.64      1  39        0         0
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 124    9.73      1  NA        1         0
#> 51    18.23      1  83        0         1
#> 140   12.68      1  59        1         0
#> 106   16.67      1  49        1         0
#> 199   19.81      1  NA        0         1
#> 183    9.24      1  67        1         0
#> 60    13.15      1  38        1         0
#> 45.1  17.42      1  54        0         1
#> 139.1 21.49      1  63        1         0
#> 180   14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 167   15.55      1  56        1         0
#> 106.1 16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 157.1 15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 30    17.43      1  78        0         0
#> 89    11.44      1  NA        0         0
#> 81.1  14.06      1  34        0         0
#> 4     17.64      1  NA        0         1
#> 189   10.51      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 107   11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 63    22.77      1  31        1         0
#> 52    10.42      1  52        0         1
#> 51.1  18.23      1  83        0         1
#> 199.1 19.81      1  NA        0         1
#> 40.1  18.00      1  28        1         0
#> 168   23.72      1  70        0         0
#> 136   21.83      1  43        0         1
#> 101    9.97      1  10        0         1
#> 78    23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 117.1 17.46      1  26        0         1
#> 89.1  11.44      1  NA        0         0
#> 51.2  18.23      1  83        0         1
#> 134   17.81      1  47        1         0
#> 37    12.52      1  57        1         0
#> 10    10.53      1  34        0         0
#> 55    19.34      1  69        0         1
#> 133   14.65      1  57        0         0
#> 86    23.81      1  58        0         1
#> 37.1  12.52      1  57        1         0
#> 133.1 14.65      1  57        0         0
#> 99.1  21.19      1  38        0         1
#> 25     6.32      1  34        1         0
#> 55.1  19.34      1  69        0         1
#> 190.1 20.81      1  42        1         0
#> 68.1  20.62      1  44        0         0
#> 24    23.89      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 25.1   6.32      1  34        1         0
#> 111   17.45      1  47        0         1
#> 63.1  22.77      1  31        1         0
#> 88    18.37      1  47        0         0
#> 184.1 17.77      1  38        0         0
#> 99.2  21.19      1  38        0         1
#> 117.2 17.46      1  26        0         1
#> 183.1  9.24      1  67        1         0
#> 113.1 22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 140.1 12.68      1  59        1         0
#> 32    20.90      1  37        1         0
#> 188   16.16      1  46        0         1
#> 10.1  10.53      1  34        0         0
#> 41.2  18.02      1  40        1         0
#> 149.1  8.37      1  33        1         0
#> 96    14.54      1  33        0         1
#> 129.1 23.41      1  53        1         0
#> 108   18.29      1  39        0         1
#> 57    14.46      1  45        0         1
#> 32.1  20.90      1  37        1         0
#> 199.2 19.81      1  NA        0         1
#> 78.1  23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 187    9.92      1  39        1         0
#> 93    10.33      1  52        0         1
#> 101.1  9.97      1  10        0         1
#> 59    10.16      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 140.2 12.68      1  59        1         0
#> 177   12.53      1  75        0         0
#> 4.1   17.64      1  NA        0         1
#> 175   21.91      1  43        0         0
#> 100.1 16.07      1  60        0         0
#> 73    24.00      0  NA        0         1
#> 135   24.00      0  58        1         0
#> 126   24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 74    24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 17    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 98    24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 80    24.00      0  41        0         0
#> 73.1  24.00      0  NA        0         1
#> 94.1  24.00      0  51        0         1
#> 53    24.00      0  32        0         1
#> 98.1  24.00      0  34        1         0
#> 131   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 35    24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 173   24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 46.1  24.00      0  71        0         0
#> 186.1 24.00      0  45        1         0
#> 98.2  24.00      0  34        1         0
#> 115   24.00      0  NA        1         0
#> 116   24.00      0  58        0         1
#> 74.1  24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 116.1 24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 11    24.00      0  42        0         1
#> 135.1 24.00      0  58        1         0
#> 143.1 24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 193   24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 198   24.00      0  66        0         1
#> 148   24.00      0  61        1         0
#> 116.2 24.00      0  58        0         1
#> 73.2  24.00      0  NA        0         1
#> 148.1 24.00      0  61        1         0
#> 147.1 24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 46.2  24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 3.1   24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 75    24.00      0  21        1         0
#> 176   24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 2     24.00      0   9        0         0
#> 200   24.00      0  64        0         0
#> 54    24.00      0  53        1         0
#> 46.3  24.00      0  71        0         0
#> 46.4  24.00      0  71        0         0
#> 152.1 24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 95.1  24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 64    24.00      0  43        0         0
#> 185.1 24.00      0  44        1         0
#> 200.1 24.00      0  64        0         0
#> 143.2 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 186.2 24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 46.5  24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.385          NA        NA      NA
#> 2 age, Cure model         -0.00718        NA        NA      NA
#> 3 grade_ii, Cure model     0.165          NA        NA      NA
#> 4 grade_iii, Cure model    0.218          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00371        NA        NA      NA
#> 2 grade_ii, Survival model   0.370          NA        NA      NA
#> 3 grade_iii, Survival model  0.434          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.385207         -0.007176          0.164990          0.218251  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.5 
#> Residual Deviance: 251.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.385207395     -0.007175742      0.164989830      0.218251416 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003711743      0.369737682      0.433539370 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.863451338 0.761912359 0.546464911 0.468905518 0.151149689 0.488658668
#>   [7] 0.584375662 0.964147017 0.640533785 0.498594119 0.199404557 0.668578158
#>  [13] 0.295416504 0.603103721 0.409585909 0.771212277 0.696581891 0.687272283
#>  [19] 0.649902907 0.649902907 0.139203837 0.069607894 0.379383653 0.808354903
#>  [25] 0.565485908 0.946080972 0.789752681 0.546464911 0.199404557 0.715155656
#>  [31] 0.439247702 0.677936542 0.565485908 0.187507286 0.696581891 0.092756282
#>  [37] 0.536780948 0.771212277 0.274742127 0.872709908 0.222109961 0.584375662
#>  [43] 0.116640050 0.900380108 0.379383653 0.439247702 0.055977073 0.175518770
#>  [49] 0.918828002 0.019802324 0.799049732 0.498594119 0.379383653 0.458978344
#>  [55] 0.845072611 0.881950393 0.337646474 0.724519341 0.043076525 0.845072611
#>  [61] 0.724519341 0.222109961 0.982118618 0.337646474 0.274742127 0.295416504
#>  [67] 0.006260884 0.982118618 0.527140707 0.116640050 0.358361405 0.468905518
#>  [73] 0.222109961 0.498594119 0.946080972 0.092756282 0.316311735 0.409585909
#>  [79] 0.808354903 0.253690998 0.612500917 0.881950393 0.409585909 0.964147017
#>  [85] 0.743217280 0.069607894 0.368922646 0.752582547 0.253690998 0.019802324
#>  [91] 0.326996441 0.936981948 0.909616772 0.918828002 0.621854981 0.808354903
#>  [97] 0.835797987 0.163266980 0.621854981 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    56    13    45   184    66   110   130   149    26   117   139    39    68 
#> 12.21 14.34 17.42 17.77 22.13 17.56 16.47  8.37 15.77 17.46 21.49 15.59 20.62 
#>     5    41    81   157    18     6   6.1    15   129    51   140   106   183 
#> 16.43 18.02 14.06 15.10 15.21 15.64 15.64 22.68 23.41 18.23 12.68 16.67  9.24 
#>    60  45.1 139.1   180    40   167 106.1   197 157.1   113    30  81.1   190 
#> 13.15 17.42 21.49 14.82 18.00 15.55 16.67 21.60 15.10 22.86 17.43 14.06 20.81 
#>   107    99 130.1    63    52  51.1  40.1   168   136   101    78    14 117.1 
#> 11.18 21.19 16.47 22.77 10.42 18.23 18.00 23.72 21.83  9.97 23.88 12.89 17.46 
#>  51.2   134    37    10    55   133    86  37.1 133.1  99.1    25  55.1 190.1 
#> 18.23 17.81 12.52 10.53 19.34 14.65 23.81 12.52 14.65 21.19  6.32 19.34 20.81 
#>  68.1    24  25.1   111  63.1    88 184.1  99.2 117.2 183.1 113.1   150  41.1 
#> 20.62 23.89  6.32 17.45 22.77 18.37 17.77 21.19 17.46  9.24 22.86 20.33 18.02 
#> 140.1    32   188  10.1  41.2 149.1    96 129.1   108    57  32.1  78.1   158 
#> 12.68 20.90 16.16 10.53 18.02  8.37 14.54 23.41 18.29 14.46 20.90 23.88 20.14 
#>   187    93 101.1   100 140.2   177   175 100.1   135   126   161    74    65 
#>  9.92 10.33  9.97 16.07 12.68 12.53 21.91 16.07 24.00 24.00 24.00 24.00 24.00 
#>    48   138   112    17    72   185     9    94     1    46    98   186    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80  94.1    53  98.1   131   147    35  72.1   173   118  46.1 186.1  98.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116  74.1   137    38   152   143    71    44   165 116.1   182    11 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1   178    95   193    34   198   148 116.2 148.1 147.1     3 178.1  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   3.1 198.1    75   176   102     2   200    54  46.3  46.4 152.1   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  95.1   163    64 185.1 200.1 143.2   120 186.2   196  46.5 163.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[24]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005912359               0.736641743               0.369666122 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76642795              0.02142552             -0.44378810 
#>   grade_iii, Cure model 
#>              0.19910501 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 175   21.91      1  43        0         0
#> 99    21.19      1  38        0         1
#> 89    11.44      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 49    12.19      1  48        1         0
#> 177   12.53      1  75        0         0
#> 77     7.27      1  67        0         1
#> 100   16.07      1  60        0         0
#> 114   13.68      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 114.1 13.68      1  NA        0         0
#> 57    14.46      1  45        0         1
#> 113   22.86      1  34        0         0
#> 42    12.43      1  49        0         1
#> 57.1  14.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 123   13.00      1  44        1         0
#> 100.1 16.07      1  60        0         0
#> 110   17.56      1  65        0         1
#> 86    23.81      1  58        0         1
#> 89.1  11.44      1  NA        0         0
#> 188   16.16      1  46        0         1
#> 26    15.77      1  49        0         1
#> 18.1  15.21      1  49        1         0
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 195   11.76      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 91     5.33      1  61        0         1
#> 58    19.34      1  39        0         0
#> 149    8.37      1  33        1         0
#> 77.1   7.27      1  67        0         1
#> 56    12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 86.1  23.81      1  58        0         1
#> 159   10.55      1  50        0         1
#> 36    21.19      1  48        0         1
#> 153   21.33      1  55        1         0
#> 25     6.32      1  34        1         0
#> 145   10.07      1  65        1         0
#> 129   23.41      1  53        1         0
#> 61    10.12      1  36        0         1
#> 181   16.46      1  45        0         1
#> 139   21.49      1  63        1         0
#> 195.1 11.76      1  NA        1         0
#> 114.2 13.68      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 99.1  21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 60    13.15      1  38        1         0
#> 179.1 18.63      1  42        0         0
#> 110.1 17.56      1  65        0         1
#> 175.1 21.91      1  43        0         0
#> 13    14.34      1  54        0         1
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 4     17.64      1  NA        0         1
#> 16     8.71      1  71        0         1
#> 183    9.24      1  67        1         0
#> 100.2 16.07      1  60        0         0
#> 18.2  15.21      1  49        1         0
#> 124    9.73      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 199.1 19.81      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 184   17.77      1  38        0         0
#> 49.1  12.19      1  48        1         0
#> 154   12.63      1  20        1         0
#> 124.1  9.73      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 149.1  8.37      1  33        1         0
#> 155   13.08      1  26        0         0
#> 18.3  15.21      1  49        1         0
#> 190   20.81      1  42        1         0
#> 32    20.90      1  37        1         0
#> 50    10.02      1  NA        1         0
#> 90.1  20.94      1  50        0         1
#> 154.1 12.63      1  20        1         0
#> 58.1  19.34      1  39        0         0
#> 15    22.68      1  48        0         0
#> 133   14.65      1  57        0         0
#> 158.1 20.14      1  74        1         0
#> 66.1  22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 169.1 22.41      1  46        0         0
#> 56.1  12.21      1  60        0         0
#> 177.1 12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 23    16.92      1  61        0         0
#> 36.1  21.19      1  48        0         1
#> 57.2  14.46      1  45        0         1
#> 76.1  19.22      1  54        0         1
#> 113.1 22.86      1  34        0         0
#> 123.1 13.00      1  44        1         0
#> 99.2  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 114.3 13.68      1  NA        0         0
#> 169.2 22.41      1  46        0         0
#> 91.1   5.33      1  61        0         1
#> 81    14.06      1  34        0         0
#> 36.2  21.19      1  48        0         1
#> 140   12.68      1  59        1         0
#> 159.1 10.55      1  50        0         1
#> 45    17.42      1  54        0         1
#> 52    10.42      1  52        0         1
#> 51    18.23      1  83        0         1
#> 191   24.00      0  60        0         1
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 152.1 24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 28    24.00      0  67        1         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 22    24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 176   24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 38    24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 46    24.00      0  71        0         0
#> 165.1 24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 48    24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 191.1 24.00      0  60        0         1
#> 191.2 24.00      0  60        0         1
#> 115.1 24.00      0  NA        1         0
#> 104.1 24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 71    24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 28.1  24.00      0  67        1         0
#> 135   24.00      0  58        1         0
#> 173   24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 9     24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 20.1  24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 104.2 24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 80    24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 132.1 24.00      0  55        0         0
#> 115.2 24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 126   24.00      0  48        0         0
#> 152.2 24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 198   24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 53    24.00      0  32        0         1
#> 3.1   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 94    24.00      0  51        0         1
#> 138   24.00      0  44        1         0
#> 83.2  24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 115.3 24.00      0  NA        1         0
#> 120.1 24.00      0  68        0         1
#> 80.1  24.00      0  41        0         0
#> 198.1 24.00      0  66        0         1
#> 94.1  24.00      0  51        0         1
#> 48.1  24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 64    24.00      0  43        0         0
#> 3.2   24.00      0  31        1         0
#> 116   24.00      0  58        0         1
#> 31.1  24.00      0  36        0         1
#> 138.1 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 7.1   24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 94.2  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.766         NA        NA      NA
#> 2 age, Cure model           0.0214        NA        NA      NA
#> 3 grade_ii, Cure model     -0.444         NA        NA      NA
#> 4 grade_iii, Cure model     0.199         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00591        NA        NA      NA
#> 2 grade_ii, Survival model   0.737          NA        NA      NA
#> 3 grade_iii, Survival model  0.370          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76643           0.02143          -0.44379           0.19911  
#> 
#> Degrees of Freedom: 180 Total (i.e. Null);  177 Residual
#> Null Deviance:	    249.7 
#> Residual Deviance: 242.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76642795       0.02142552      -0.44378810       0.19910501 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005912359      0.736641743      0.369666122 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.35144548 0.42303395 0.38149571 0.91346206 0.87822886 0.97410064
#>   [7] 0.71176190 0.27394319 0.80264975 0.22181272 0.89600628 0.80264975
#>  [13] 0.75587798 0.84774451 0.71176190 0.64152748 0.13482225 0.70420137
#>  [19] 0.73390620 0.75587798 0.59926944 0.79598201 0.53688825 0.98974916
#>  [25] 0.56407133 0.96351829 0.97410064 0.90185884 0.69656711 0.13482225
#>  [31] 0.92480952 0.42303395 0.41008485 0.98455234 0.94718689 0.18269195
#>  [37] 0.94161997 0.68111627 0.39631325 0.89011782 0.62496016 0.78253826
#>  [43] 0.42303395 0.74866091 0.83499215 0.59926944 0.64152748 0.35144548
#>  [49] 0.82206109 0.65750047 0.74129307 0.95812103 0.95268697 0.71176190
#>  [55] 0.75587798 0.06065349 0.06065349 0.68885196 0.32063478 0.55499293
#>  [61] 0.63325747 0.91346206 0.86624941 0.48580245 0.96351829 0.84137234
#>  [67] 0.75587798 0.51707059 0.50680308 0.48580245 0.86624941 0.56407133
#>  [73] 0.25641618 0.78927161 0.53688825 0.32063478 0.52700710 0.27394319
#>  [79] 0.90185884 0.87822886 0.58193416 0.67330173 0.42303395 0.80264975
#>  [85] 0.58193416 0.22181272 0.84774451 0.42303395 0.20310722 0.27394319
#>  [91] 0.98974916 0.82853224 0.42303395 0.86012399 0.92480952 0.66544760
#>  [97] 0.93602692 0.61646455 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000
#> 
#> $Time
#>   175    99   136    49   177    77   100   169    57   113    42  57.1    18 
#> 21.91 21.19 21.83 12.19 12.53  7.27 16.07 22.41 14.46 22.86 12.43 14.46 15.21 
#>   123 100.1   110    86   188    26  18.1   179    96   158    91    58   149 
#> 13.00 16.07 17.56 23.81 16.16 15.77 15.21 18.63 14.54 20.14  5.33 19.34  8.37 
#>  77.1    56     5  86.1   159    36   153    25   145   129    61   181   139 
#>  7.27 12.21 16.43 23.81 10.55 21.19 21.33  6.32 10.07 23.41 10.12 16.46 21.49 
#>    37   134   157  99.1    29    60 179.1 110.1 175.1    13   111     6    16 
#> 12.52 17.81 15.10 21.19 15.45 13.15 18.63 17.56 21.91 14.34 17.45 15.64  8.71 
#>   183 100.2  18.2    24  24.1    85    66   166   184  49.1   154    90 149.1 
#>  9.24 16.07 15.21 23.89 23.89 16.44 22.13 19.98 17.77 12.19 12.63 20.94  8.37 
#>   155  18.3   190    32  90.1 154.1  58.1    15   133 158.1  66.1    68 169.1 
#> 13.08 15.21 20.81 20.90 20.94 12.63 19.34 22.68 14.65 20.14 22.13 20.62 22.41 
#>  56.1 177.1    76    23  36.1  57.2  76.1 113.1 123.1  99.2    92 169.2  91.1 
#> 12.21 12.53 19.22 16.92 21.19 14.46 19.22 22.86 13.00 21.19 22.92 22.41  5.33 
#>    81  36.2   140 159.1    45    52    51   191   104   137    20   152   132 
#> 14.06 21.19 12.68 10.55 17.42 10.42 18.23 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1   142   109 109.1    28    31     3    65    47    83    22   146  83.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   165    75    38    62    46 165.1   121   156    48 121.1 191.1 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1    71    19  28.1   135   173   120   161     9     2  20.1   160     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   131 104.2   163    80    21    67 132.1  47.1   126 152.2   143    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103   198   186    53   3.1    34    94   138  83.2     7 120.1  80.1 198.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1  48.1   196    64   3.2   116  31.1 138.1 146.1   7.1    17  94.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[25]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0009556918              0.9781421965              0.3781488569 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.87250427              0.01982772              0.10008055 
#>   grade_iii, Cure model 
#>              0.43863102 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 175   21.91      1  43        0         0
#> 105   19.75      1  60        0         0
#> 175.1 21.91      1  43        0         0
#> 169   22.41      1  46        0         0
#> 92    22.92      1  47        0         1
#> 153   21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 194   22.40      1  38        0         1
#> 23    16.92      1  61        0         0
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 192   16.44      1  31        1         0
#> 127    3.53      1  62        0         1
#> 55    19.34      1  69        0         1
#> 168   23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 32    20.90      1  37        1         0
#> 101    9.97      1  10        0         1
#> 140   12.68      1  59        1         0
#> 166   19.98      1  48        0         0
#> 10    10.53      1  34        0         0
#> 183    9.24      1  67        1         0
#> 40    18.00      1  28        1         0
#> 149    8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 111   17.45      1  47        0         1
#> 69    23.23      1  25        0         1
#> 10.1  10.53      1  34        0         0
#> 45    17.42      1  54        0         1
#> 190   20.81      1  42        1         0
#> 106   16.67      1  49        1         0
#> 179   18.63      1  42        0         0
#> 158   20.14      1  74        1         0
#> 10.2  10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 16     8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 93    10.33      1  52        0         1
#> 129   23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 181   16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 158.1 20.14      1  74        1         0
#> 88    18.37      1  47        0         0
#> 69.1  23.23      1  25        0         1
#> 136   21.83      1  43        0         1
#> 43    12.10      1  61        0         1
#> 145.1 10.07      1  65        1         0
#> 55.1  19.34      1  69        0         1
#> 70     7.38      1  30        1         0
#> 164   23.60      1  76        0         1
#> 55.2  19.34      1  69        0         1
#> 124    9.73      1  NA        1         0
#> 164.1 23.60      1  76        0         1
#> 183.1  9.24      1  67        1         0
#> 50    10.02      1  NA        1         0
#> 45.1  17.42      1  54        0         1
#> 10.3  10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 24    23.89      1  38        0         0
#> 157   15.10      1  47        0         0
#> 66    22.13      1  53        0         0
#> 43.1  12.10      1  61        0         1
#> 25     6.32      1  34        1         0
#> 154   12.63      1  20        1         0
#> 18    15.21      1  49        1         0
#> 30.1  17.43      1  78        0         0
#> 107   11.18      1  54        1         0
#> 32.1  20.90      1  37        1         0
#> 37    12.52      1  57        1         0
#> 29    15.45      1  68        1         0
#> 30.2  17.43      1  78        0         0
#> 24.1  23.89      1  38        0         0
#> 164.2 23.60      1  76        0         1
#> 36    21.19      1  48        0         1
#> 128.1 20.35      1  35        0         1
#> 16.1   8.71      1  71        0         1
#> 145.2 10.07      1  65        1         0
#> 24.2  23.89      1  38        0         0
#> 108   18.29      1  39        0         1
#> 5     16.43      1  51        0         1
#> 81    14.06      1  34        0         0
#> 183.2  9.24      1  67        1         0
#> 128.2 20.35      1  35        0         1
#> 197   21.60      1  69        1         0
#> 79.1  16.23      1  54        1         0
#> 24.3  23.89      1  38        0         0
#> 145.3 10.07      1  65        1         0
#> 184   17.77      1  38        0         0
#> 110   17.56      1  65        0         1
#> 60    13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 128.3 20.35      1  35        0         1
#> 177   12.53      1  75        0         0
#> 150.1 20.33      1  48        0         0
#> 8     18.43      1  32        0         0
#> 110.1 17.56      1  65        0         1
#> 188   16.16      1  46        0         1
#> 114   13.68      1  NA        0         0
#> 88.1  18.37      1  47        0         0
#> 25.1   6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 8.1   18.43      1  32        0         0
#> 107.1 11.18      1  54        1         0
#> 106.1 16.67      1  49        1         0
#> 18.1  15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 6     15.64      1  39        0         0
#> 168.1 23.72      1  70        0         0
#> 44    24.00      0  56        0         0
#> 152   24.00      0  36        0         1
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 138   24.00      0  44        1         0
#> 48.1  24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 35    24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 143   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 47    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 2     24.00      0   9        0         0
#> 152.1 24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 144   24.00      0  28        0         1
#> 65    24.00      0  57        1         0
#> 132   24.00      0  55        0         0
#> 31    24.00      0  36        0         1
#> 67    24.00      0  25        0         0
#> 95    24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 198   24.00      0  66        0         1
#> 73    24.00      0  NA        0         1
#> 38    24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 94    24.00      0  51        0         1
#> 87    24.00      0  27        0         0
#> 27.1  24.00      0  63        1         0
#> 95.1  24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 163   24.00      0  66        0         0
#> 67.1  24.00      0  25        0         0
#> 98.1  24.00      0  34        1         0
#> 65.1  24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 47.1  24.00      0  38        0         1
#> 122.1 24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 35.1  24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 162.1 24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 151   24.00      0  42        0         0
#> 73.1  24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 200   24.00      0  64        0         0
#> 80    24.00      0  41        0         0
#> 135.1 24.00      0  58        1         0
#> 174   24.00      0  49        1         0
#> 152.2 24.00      0  36        0         1
#> 74.1  24.00      0  43        0         1
#> 143.1 24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 120   24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 21    24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 137.1 24.00      0  45        1         0
#> 174.1 24.00      0  49        1         0
#> 119.1 24.00      0  17        0         0
#> 47.2  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 185   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 9.1   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 132.1 24.00      0  55        0         0
#> 146   24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 191   24.00      0  60        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.873         NA        NA      NA
#> 2 age, Cure model           0.0198        NA        NA      NA
#> 3 grade_ii, Cure model      0.100         NA        NA      NA
#> 4 grade_iii, Cure model     0.439         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000956        NA        NA      NA
#> 2 grade_ii, Survival model  0.978           NA        NA      NA
#> 3 grade_iii, Survival model 0.378           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.87250           0.01983           0.10008           0.43863  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 259 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.87250427       0.01982772       0.10008055       0.43863102 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0009556918     0.9781421965     0.3781488569 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.31704329 0.50395476 0.31704329 0.27611435 0.26220799 0.36890574
#>   [7] 0.83573169 0.28998946 0.68402299 0.51272469 0.64484002 0.71436123
#>  [13] 0.99484350 0.51272469 0.12997880 0.90798528 0.39198657 0.93047512
#>  [19] 0.81046909 0.49517582 0.87234878 0.94173118 0.60459943 0.96864197
#>  [25] 0.97925994 0.63686201 0.23437719 0.87234878 0.66841241 0.41247884
#>  [31] 0.69186792 0.55440161 0.47775923 0.87234878 0.80397360 0.95790020
#>  [37] 0.10719921 0.90203771 0.21909854 0.54596527 0.42241356 0.70686457
#>  [43] 0.45908012 0.72904598 0.47775923 0.57955319 0.23437719 0.34339920
#>  [49] 0.84813677 0.90798528 0.51272469 0.97397608 0.17076485 0.51272469
#>  [55] 0.17076485 0.94173118 0.66841241 0.87234878 0.89606913 0.04086826
#>  [61] 0.77741188 0.30353199 0.84813677 0.98452798 0.81687151 0.76408185
#>  [67] 0.64484002 0.86039608 0.39198657 0.82950332 0.75717111 0.64484002
#>  [73] 0.04086826 0.17076485 0.38053854 0.42241356 0.95790020 0.90798528
#>  [79] 0.04086826 0.59625157 0.72172349 0.78410307 0.94173118 0.42241356
#>  [85] 0.35657177 0.72904598 0.04086826 0.90798528 0.61275236 0.62090128
#>  [91] 0.79079238 0.93613293 0.42241356 0.82318921 0.45908012 0.56283270
#>  [97] 0.62090128 0.74311131 0.57955319 0.98452798 0.84193558 0.56283270
#> [103] 0.86039608 0.69186792 0.76408185 0.79738367 0.75014246 0.12997880
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>   175   105 175.1   169    92   153    42   194    23    58    30   192   127 
#> 21.91 19.75 21.91 22.41 22.92 21.33 12.43 22.40 16.92 19.34 17.43 16.44  3.53 
#>    55   168   145    32   101   140   166    10   183    40   149    77   111 
#> 19.34 23.72 10.07 20.90  9.97 12.68 19.98 10.53  9.24 18.00  8.37  7.27 17.45 
#>    69  10.1    45   190   106   179   158  10.2   123    16    78    93   129 
#> 23.23 10.53 17.42 20.81 16.67 18.63 20.14 10.53 13.00  8.71 23.88 10.33 23.41 
#>    76   128   181   150    79 158.1    88  69.1   136    43 145.1  55.1    70 
#> 19.22 20.35 16.46 20.33 16.23 20.14 18.37 23.23 21.83 12.10 10.07 19.34  7.38 
#>   164  55.2 164.1 183.1  45.1  10.3    52    24   157    66  43.1    25   154 
#> 23.60 19.34 23.60  9.24 17.42 10.53 10.42 23.89 15.10 22.13 12.10  6.32 12.63 
#>    18  30.1   107  32.1    37    29  30.2  24.1 164.2    36 128.1  16.1 145.2 
#> 15.21 17.43 11.18 20.90 12.52 15.45 17.43 23.89 23.60 21.19 20.35  8.71 10.07 
#>  24.2   108     5    81 183.2 128.2   197  79.1  24.3 145.3   184   110    60 
#> 23.89 18.29 16.43 14.06  9.24 20.35 21.60 16.23 23.89 10.07 17.77 17.56 13.15 
#>   187 128.3   177 150.1     8 110.1   188  88.1  25.1    56   8.1 107.1 106.1 
#>  9.92 20.35 12.53 20.33 18.43 17.56 16.16 18.37  6.32 12.21 18.43 11.18 16.67 
#>  18.1   155     6 168.1    44   152    48     9    19   135   138  48.1   137 
#> 15.21 13.08 15.64 23.72 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   162    17    64    35   122    62   119   143    98    47    82     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 152.1     3   165    27   144    65   132    31    67    95  31.1   196   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    74    94    87  27.1  95.1     7   163  67.1  98.1  65.1   156 144.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1 122.1    11  35.1  44.1 162.1   160    46   151   172   200    80 135.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 152.2  74.1 143.1   103   120   102   142    21    28 137.1 174.1 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.2   161   185   178   112   9.1   104 132.1   146     1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[26]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.018311400              -0.028311331               0.003060547 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.92071813              0.01518074              0.01436094 
#>   grade_iii, Cure model 
#>              1.43661207 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 15    22.68      1  48        0         0
#> 153   21.33      1  55        1         0
#> 153.1 21.33      1  55        1         0
#> 188   16.16      1  46        0         1
#> 171   16.57      1  41        0         1
#> 81    14.06      1  34        0         0
#> 52    10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 45    17.42      1  54        0         1
#> 187    9.92      1  39        1         0
#> 171.1 16.57      1  41        0         1
#> 36    21.19      1  48        0         1
#> 149    8.37      1  33        1         0
#> 170   19.54      1  43        0         1
#> 13    14.34      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 100   16.07      1  60        0         0
#> 190   20.81      1  42        1         0
#> 15.1  22.68      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 51    18.23      1  83        0         1
#> 41    18.02      1  40        1         0
#> 39    15.59      1  37        0         1
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 195.1 11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 199   19.81      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 5     16.43      1  51        0         1
#> 183    9.24      1  67        1         0
#> 167   15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 77     7.27      1  67        0         1
#> 57    14.46      1  45        0         1
#> 6     15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 43.1  12.10      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 99.1  21.19      1  38        0         1
#> 63    22.77      1  31        1         0
#> 92.1  22.92      1  47        0         1
#> 110   17.56      1  65        0         1
#> 4     17.64      1  NA        0         1
#> 14    12.89      1  21        0         0
#> 10.1  10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 190.1 20.81      1  42        1         0
#> 184   17.77      1  38        0         0
#> 6.2   15.64      1  39        0         0
#> 43.2  12.10      1  61        0         1
#> 107   11.18      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 180.1 14.82      1  37        0         0
#> 97    19.14      1  65        0         1
#> 56    12.21      1  60        0         0
#> 133   14.65      1  57        0         0
#> 190.2 20.81      1  42        1         0
#> 167.1 15.55      1  56        1         0
#> 166   19.98      1  48        0         0
#> 128   20.35      1  35        0         1
#> 99.2  21.19      1  38        0         1
#> 13.1  14.34      1  54        0         1
#> 157   15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 93    10.33      1  52        0         1
#> 81.1  14.06      1  34        0         0
#> 155   13.08      1  26        0         0
#> 43.3  12.10      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 175   21.91      1  43        0         0
#> 49    12.19      1  48        1         0
#> 69.1  23.23      1  25        0         1
#> 124    9.73      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 93.1  10.33      1  52        0         1
#> 99.3  21.19      1  38        0         1
#> 79    16.23      1  54        1         0
#> 96    14.54      1  33        0         1
#> 129   23.41      1  53        1         0
#> 8     18.43      1  32        0         0
#> 100.1 16.07      1  60        0         0
#> 110.1 17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 155.1 13.08      1  26        0         0
#> 25     6.32      1  34        1         0
#> 51.1  18.23      1  83        0         1
#> 39.1  15.59      1  37        0         1
#> 128.1 20.35      1  35        0         1
#> 91     5.33      1  61        0         1
#> 6.3   15.64      1  39        0         0
#> 51.2  18.23      1  83        0         1
#> 105   19.75      1  60        0         0
#> 76    19.22      1  54        0         1
#> 24.1  23.89      1  38        0         0
#> 192   16.44      1  31        1         0
#> 177   12.53      1  75        0         0
#> 113   22.86      1  34        0         0
#> 100.2 16.07      1  60        0         0
#> 139   21.49      1  63        1         0
#> 90    20.94      1  50        0         1
#> 128.2 20.35      1  35        0         1
#> 175.1 21.91      1  43        0         0
#> 89    11.44      1  NA        0         0
#> 77.1   7.27      1  67        0         1
#> 137   24.00      0  45        1         0
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 74    24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 137.1 24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 33    24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 48.1  24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 185   24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 80.1  24.00      0  41        0         0
#> 80.2  24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 102   24.00      0  49        0         0
#> 72    24.00      0  40        0         1
#> 162.1 24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 109   24.00      0  48        0         0
#> 73    24.00      0  NA        0         1
#> 3     24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 178.1 24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 112   24.00      0  61        0         0
#> 147.1 24.00      0  76        1         0
#> 196   24.00      0  19        0         0
#> 3.1   24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 2.1   24.00      0   9        0         0
#> 75    24.00      0  21        1         0
#> 94    24.00      0  51        0         1
#> 62    24.00      0  71        0         0
#> 87    24.00      0  27        0         0
#> 147.2 24.00      0  76        1         0
#> 62.1  24.00      0  71        0         0
#> 143   24.00      0  51        0         0
#> 2.2   24.00      0   9        0         0
#> 104   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 44.1  24.00      0  56        0         0
#> 12    24.00      0  63        0         0
#> 19.1  24.00      0  57        0         1
#> 44.2  24.00      0  56        0         0
#> 151   24.00      0  42        0         0
#> 62.2  24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 80.3  24.00      0  41        0         0
#> 87.1  24.00      0  27        0         0
#> 109.1 24.00      0  48        0         0
#> 44.3  24.00      0  56        0         0
#> 165   24.00      0  47        0         0
#> 47.1  24.00      0  38        0         1
#> 196.1 24.00      0  19        0         0
#> 126   24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 137.2 24.00      0  45        1         0
#> 1.1   24.00      0  23        1         0
#> 21    24.00      0  47        0         0
#> 22.1  24.00      0  52        1         0
#> 137.3 24.00      0  45        1         0
#> 143.1 24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 48.2  24.00      0  31        1         0
#> 102.1 24.00      0  49        0         0
#> 126.1 24.00      0  48        0         0
#> 196.2 24.00      0  19        0         0
#> 143.2 24.00      0  51        0         0
#> 172.1 24.00      0  41        0         0
#> 102.2 24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.921         NA        NA      NA
#> 2 age, Cure model           0.0152        NA        NA      NA
#> 3 grade_ii, Cure model      0.0144        NA        NA      NA
#> 4 grade_iii, Cure model     1.44          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.0183         NA        NA      NA
#> 2 grade_ii, Survival model  -0.0283         NA        NA      NA
#> 3 grade_iii, Survival model  0.00306        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.92072           0.01518           0.01436           1.43661  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 239.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.92071813       0.01518074       0.01436094       1.43661207 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.018311400     -0.028311331      0.003060547 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3585300 0.4755705 0.4755705 0.7635477 0.7272333 0.8784951 0.9508436
#>   [8] 0.9161102 0.7209502 0.9676938 0.7272333 0.4980306 0.9759618 0.6353287
#>  [15] 0.8688697 0.7861242 0.7694150 0.5563258 0.3585300 0.8337534 0.6747265
#>  [22] 0.6948814 0.8128762 0.1181085 0.2779691 0.9635217 0.2264043 0.9422564
#>  [29] 0.7516164 0.9718481 0.8234280 0.4980306 0.9800620 0.8639509 0.7916427
#>  [36] 0.8439802 0.9161102 0.7916427 0.4980306 0.3392274 0.2779691 0.7082519
#>  [43] 0.8975035 0.9422564 0.7395077 0.5563258 0.7015987 0.7916427 0.9161102
#>  [50] 0.9336010 0.9336010 0.8439802 0.6594377 0.9069061 0.8540167 0.5563258
#>  [57] 0.8234280 0.6185219 0.5836356 0.4980306 0.8688697 0.8388881 0.6434912
#>  [64] 0.9551160 0.8784951 0.8880303 0.9161102 0.3912711 0.4073059 0.9115237
#>  [71] 0.2264043 0.9960610 0.4501534 0.6098375 0.9551160 0.4980306 0.7576199
#>  [78] 0.8589958 0.1944670 0.6671170 0.7694150 0.7082519 0.4360862 0.8880303
#>  [85] 0.9880831 0.6747265 0.8128762 0.5836356 0.9920886 0.7916427 0.6747265
#>  [92] 0.6270379 0.6515472 0.1181085 0.7395077 0.9022409 0.3191070 0.7694150
#>  [99] 0.4632244 0.5465329 0.5836356 0.4073059 0.9800620 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    15   153 153.1   188   171    81    52    43    45   187 171.1    36   149 
#> 22.68 21.33 21.33 16.16 16.57 14.06 10.42 12.10 17.42  9.92 16.57 21.19  8.37 
#>   170    13   125   100   190  15.1    18    51    41    39    24    92   145 
#> 19.54 14.34 15.65 16.07 20.81 22.68 15.21 18.23 18.02 15.59 23.89 22.92 10.07 
#>    69    10     5   183   167    99    77    57     6   180  43.1   6.1  99.1 
#> 23.23 10.53 16.43  9.24 15.55 21.19  7.27 14.46 15.64 14.82 12.10 15.64 21.19 
#>    63  92.1   110    14  10.1    85 190.1   184   6.2  43.2   107 107.1 180.1 
#> 22.77 22.92 17.56 12.89 10.53 16.44 20.81 17.77 15.64 12.10 11.18 11.18 14.82 
#>    97    56   133 190.2 167.1   166   128  99.2  13.1   157    58    93  81.1 
#> 19.14 12.21 14.65 20.81 15.55 19.98 20.35 21.19 14.34 15.10 19.34 10.33 14.06 
#>   155  43.3   194   175    49  69.1   127   197   150  93.1  99.3    79    96 
#> 13.08 12.10 22.40 21.91 12.19 23.23  3.53 21.60 20.33 10.33 21.19 16.23 14.54 
#>   129     8 100.1 110.1   136 155.1    25  51.1  39.1 128.1    91   6.3  51.2 
#> 23.41 18.43 16.07 17.56 21.83 13.08  6.32 18.23 15.59 20.35  5.33 15.64 18.23 
#>   105    76  24.1   192   177   113 100.2   139    90 128.2 175.1  77.1   137 
#> 19.75 19.22 23.89 16.44 12.53 22.86 16.07 21.49 20.94 20.35 21.91  7.27 24.00 
#>    48   172    54    74   174 137.1   178    33    80  48.1    98   185    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  80.1  80.2   162    71  74.1    19   102    72 162.1   152   173    44   109 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3     1 178.1    47     2   147   112 147.1   196   3.1    11   2.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    62    87 147.2  62.1   143   2.2   104    35    22   122  72.1  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12  19.1  44.2   151  62.2   182   156   176  80.3  87.1 109.1  44.3   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1 196.1   126    38 137.2   1.1    21  22.1 137.3 143.1   186     7  48.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1 126.1 196.2 143.2 172.1 102.2    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[27]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009172204               0.495272835              -0.010182932 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.96741508              0.01789457              0.26060859 
#>   grade_iii, Cure model 
#>              0.89635661 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 145   10.07      1  65        1         0
#> 197   21.60      1  69        1         0
#> 96    14.54      1  33        0         1
#> 123   13.00      1  44        1         0
#> 199   19.81      1  NA        0         1
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 168   23.72      1  70        0         0
#> 39    15.59      1  37        0         1
#> 189   10.51      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 61    10.12      1  36        0         1
#> 153   21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 69    23.23      1  25        0         1
#> 85    16.44      1  36        0         0
#> 56    12.21      1  60        0         0
#> 171   16.57      1  41        0         1
#> 57    14.46      1  45        0         1
#> 69.1  23.23      1  25        0         1
#> 100   16.07      1  60        0         0
#> 70     7.38      1  30        1         0
#> 117   17.46      1  26        0         1
#> 23    16.92      1  61        0         0
#> 96.1  14.54      1  33        0         1
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 124    9.73      1  NA        1         0
#> 36    21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 168.1 23.72      1  70        0         0
#> 55.1  19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 45    17.42      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 69.2  23.23      1  25        0         1
#> 88    18.37      1  47        0         0
#> 69.3  23.23      1  25        0         1
#> 58    19.34      1  39        0         0
#> 117.1 17.46      1  26        0         1
#> 134   17.81      1  47        1         0
#> 36.1  21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 79    16.23      1  54        1         0
#> 51    18.23      1  83        0         1
#> 23.1  16.92      1  61        0         0
#> 164   23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 133   14.65      1  57        0         0
#> 43    12.10      1  61        0         1
#> 23.2  16.92      1  61        0         0
#> 18    15.21      1  49        1         0
#> 97    19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 97.1  19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 192   16.44      1  31        1         0
#> 15    22.68      1  48        0         0
#> 139   21.49      1  63        1         0
#> 179   18.63      1  42        0         0
#> 114   13.68      1  NA        0         0
#> 194   22.40      1  38        0         1
#> 139.1 21.49      1  63        1         0
#> 153.1 21.33      1  55        1         0
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 149.1  8.37      1  33        1         0
#> 192.1 16.44      1  31        1         0
#> 14    12.89      1  21        0         0
#> 56.1  12.21      1  60        0         0
#> 43.1  12.10      1  61        0         1
#> 166   19.98      1  48        0         0
#> 61.1  10.12      1  36        0         1
#> 153.2 21.33      1  55        1         0
#> 166.1 19.98      1  48        0         0
#> 76.1  19.22      1  54        0         1
#> 96.2  14.54      1  33        0         1
#> 49    12.19      1  48        1         0
#> 117.2 17.46      1  26        0         1
#> 169   22.41      1  46        0         0
#> 192.2 16.44      1  31        1         0
#> 56.2  12.21      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 145.1 10.07      1  65        1         0
#> 30    17.43      1  78        0         0
#> 194.1 22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 93    10.33      1  52        0         1
#> 78    23.88      1  43        0         0
#> 43.2  12.10      1  61        0         1
#> 30.1  17.43      1  78        0         0
#> 76.2  19.22      1  54        0         1
#> 110   17.56      1  65        0         1
#> 170.1 19.54      1  43        0         1
#> 175   21.91      1  43        0         0
#> 168.2 23.72      1  70        0         0
#> 157.2 15.10      1  47        0         0
#> 90    20.94      1  50        0         1
#> 114.1 13.68      1  NA        0         0
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 133.1 14.65      1  57        0         0
#> 13    14.34      1  54        0         1
#> 192.3 16.44      1  31        1         0
#> 149.2  8.37      1  33        1         0
#> 184   17.77      1  38        0         0
#> 187    9.92      1  39        1         0
#> 197.1 21.60      1  69        1         0
#> 32.1  20.90      1  37        1         0
#> 29    15.45      1  68        1         0
#> 136   21.83      1  43        0         1
#> 120   24.00      0  68        0         1
#> 12    24.00      0  63        0         0
#> 191   24.00      0  60        0         1
#> 9     24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 87    24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 46    24.00      0  71        0         0
#> 47    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 98    24.00      0  34        1         0
#> 72    24.00      0  40        0         1
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 142   24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 7     24.00      0  37        1         0
#> 185   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 143   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 22    24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 7.1   24.00      0  37        1         0
#> 31    24.00      0  36        0         1
#> 31.1  24.00      0  36        0         1
#> 160   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 142.1 24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 48    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 196   24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 176.1 24.00      0  43        0         1
#> 142.2 24.00      0  53        0         0
#> 3.1   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 141   24.00      0  44        1         0
#> 185.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 46.1  24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 75    24.00      0  21        1         0
#> 186.1 24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 34.2  24.00      0  36        0         0
#> 172   24.00      0  41        0         0
#> 104   24.00      0  50        1         0
#> 46.2  24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 2     24.00      0   9        0         0
#> 173.1 24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 115.1 24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 178   24.00      0  52        1         0
#> 131.1 24.00      0  66        0         0
#> 95.1  24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 75.1  24.00      0  21        1         0
#> 33    24.00      0  53        0         0
#> 182   24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 95.2  24.00      0  68        0         1
#> 132.2 24.00      0  55        0         0
#> 33.1  24.00      0  53        0         0
#> 115.2 24.00      0  NA        1         0
#> 121   24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 12.1  24.00      0  63        0         0
#> 104.1 24.00      0  50        1         0
#> 72.1  24.00      0  40        0         1
#> 163.1 24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 73.1  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.967         NA        NA      NA
#> 2 age, Cure model           0.0179        NA        NA      NA
#> 3 grade_ii, Cure model      0.261         NA        NA      NA
#> 4 grade_iii, Cure model     0.896         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00917        NA        NA      NA
#> 2 grade_ii, Survival model   0.495          NA        NA      NA
#> 3 grade_iii, Survival model -0.0102         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.96742           0.01789           0.26061           0.89636  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    259.2 
#> Residual Deviance: 250.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.96741508       0.01789457       0.26060859       0.89635661 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009172204      0.495272835     -0.010182932 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.7131530960 0.8906930649 0.0897563799 0.6558219390 0.7248058618
#>   [6] 0.1406380071 0.2194997796 0.0058170033 0.5670996361 0.2449085999
#>  [11] 0.8663382841 0.1191347839 0.9396656834 0.0285155092 0.4720210853
#>  [16] 0.7713752327 0.4610444555 0.6898639372 0.0285155092 0.5344241563
#>  [21] 0.9757473742 0.3680894517 0.4291299717 0.6558219390 0.6001571314
#>  [26] 0.6001571314 0.1406380071 0.3284818174 0.0058170033 0.2194997796
#>  [31] 0.7481077734 0.4185624555 0.0285155092 0.2994509563 0.0285155092
#>  [36] 0.2194997796 0.3680894517 0.3383252215 0.1406380071 0.2030277203
#>  [41] 0.5236625337 0.3185978640 0.4291299717 0.0167648801 0.0226427708
#>  [46] 0.6332441345 0.8183900174 0.4291299717 0.5891359755 0.2714099212
#>  [51] 0.5561567764 0.2714099212 0.9273796944 0.4720210853 0.0486614089
#>  [56] 0.1043620678 0.2899361396 0.0616672987 0.1043620678 0.1191347839
#>  [61] 0.7597086798 0.9878886689 0.9396656834 0.4720210853 0.7364406690
#>  [66] 0.7713752327 0.8183900174 0.1869891124 0.8663382841 0.1191347839
#>  [71] 0.1869891124 0.2449085999 0.6558219390 0.8065129904 0.3680894517
#>  [76] 0.0550318621 0.4720210853 0.7713752327 0.2994509563 0.8906930649
#>  [81] 0.3978985974 0.0616672987 0.5452782905 0.8541734719 0.0005950146
#>  [86] 0.8183900174 0.3978985974 0.2449085999 0.3580564635 0.2030277203
#>  [91] 0.0750528705 0.0058170033 0.6001571314 0.1633335892 0.1714264063
#>  [96] 0.0026230336 0.6332441345 0.7014701658 0.4720210853 0.9396656834
#> [101] 0.3481497008 0.9151119796 0.0897563799 0.1714264063 0.5781051474
#> [106] 0.0822952355 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    60   145   197    96   123    99    55   168    39    76    61   153   149 
#> 13.15 10.07 21.60 14.54 13.00 21.19 19.34 23.72 15.59 19.22 10.12 21.33  8.37 
#>    69    85    56   171    57  69.1   100    70   117    23  96.1   157 157.1 
#> 23.23 16.44 12.21 16.57 14.46 23.23 16.07  7.38 17.46 16.92 14.54 15.10 15.10 
#>    36    41 168.1  55.1   154    45  69.2    88  69.3    58 117.1   134  36.1 
#> 21.19 18.02 23.72 19.34 12.63 17.42 23.23 18.37 23.23 19.34 17.46 17.81 21.19 
#>   170    79    51  23.1   164   129   133    43  23.2    18    97     6  97.1 
#> 19.54 16.23 18.23 16.92 23.60 23.41 14.65 12.10 16.92 15.21 19.14 15.64 19.14 
#>   183   192    15   139   179   194 139.1 153.1    42    25 149.1 192.1    14 
#>  9.24 16.44 22.68 21.49 18.63 22.40 21.49 21.33 12.43  6.32  8.37 16.44 12.89 
#>  56.1  43.1   166  61.1 153.2 166.1  76.1  96.2    49 117.2   169 192.2  56.2 
#> 12.21 12.10 19.98 10.12 21.33 19.98 19.22 14.54 12.19 17.46 22.41 16.44 12.21 
#>  88.1 145.1    30 194.1   125    93    78  43.2  30.1  76.2   110 170.1   175 
#> 18.37 10.07 17.43 22.40 15.65 10.33 23.88 12.10 17.43 19.22 17.56 19.54 21.91 
#> 168.2 157.2    90    32    86 133.1    13 192.3 149.2   184   187 197.1  32.1 
#> 23.72 15.10 20.94 20.90 23.81 14.65 14.34 16.44  8.37 17.77  9.92 21.60 20.90 
#>    29   136   120    12   191     9    44    87    11    46    47   173    98 
#> 15.45 21.83 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   132    20   131  87.1   142   116     7   185   118   148   143   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   186    22   161   7.1    31  31.1   160   103 142.1    65    48    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196     3 132.1 176.1 142.2   3.1   135    34  34.1   141 185.1    21    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1   119    75 186.1  34.2   172   104  46.2     1     2 173.1    53  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   178 131.1  95.1   137  75.1    33   182    80  95.2 132.2  33.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138 161.1  12.1 104.1  72.1 163.1    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[28]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00474172                0.99349664                0.25872243 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -1.2209444               0.0271000              -0.2303001 
#>   grade_iii, Cure model 
#>               0.5423489 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 180   14.82      1  37        0         0
#> 170   19.54      1  43        0         1
#> 181   16.46      1  45        0         1
#> 99    21.19      1  38        0         1
#> 127    3.53      1  62        0         1
#> 78    23.88      1  43        0         0
#> 181.1 16.46      1  45        0         1
#> 88    18.37      1  47        0         0
#> 81    14.06      1  34        0         0
#> 57    14.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 136   21.83      1  43        0         1
#> 128   20.35      1  35        0         1
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 170.1 19.54      1  43        0         1
#> 113   22.86      1  34        0         0
#> 100   16.07      1  60        0         0
#> 179   18.63      1  42        0         0
#> 4     17.64      1  NA        0         1
#> 18    15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 85    16.44      1  36        0         0
#> 63    22.77      1  31        1         0
#> 183    9.24      1  67        1         0
#> 139   21.49      1  63        1         0
#> 189.1 10.51      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 93    10.33      1  52        0         1
#> 25     6.32      1  34        1         0
#> 128.1 20.35      1  35        0         1
#> 164.1 23.60      1  76        0         1
#> 52    10.42      1  52        0         1
#> 169.1 22.41      1  46        0         0
#> 170.2 19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 179.1 18.63      1  42        0         0
#> 130   16.47      1  53        0         1
#> 159   10.55      1  50        0         1
#> 92    22.92      1  47        0         1
#> 189.2 10.51      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 6     15.64      1  39        0         0
#> 29    15.45      1  68        1         0
#> 164.2 23.60      1  76        0         1
#> 180.1 14.82      1  37        0         0
#> 125   15.65      1  67        1         0
#> 145   10.07      1  65        1         0
#> 57.1  14.46      1  45        0         1
#> 136.1 21.83      1  43        0         1
#> 157   15.10      1  47        0         0
#> 168   23.72      1  70        0         0
#> 130.1 16.47      1  53        0         1
#> 66    22.13      1  53        0         0
#> 51.1  18.23      1  83        0         1
#> 100.1 16.07      1  60        0         0
#> 125.1 15.65      1  67        1         0
#> 187    9.92      1  39        1         0
#> 15    22.68      1  48        0         0
#> 45    17.42      1  54        0         1
#> 167   15.55      1  56        1         0
#> 114   13.68      1  NA        0         0
#> 78.1  23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 58    19.34      1  39        0         0
#> 60    13.15      1  38        1         0
#> 177   12.53      1  75        0         0
#> 111.1 17.45      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 32    20.90      1  37        1         0
#> 85.1  16.44      1  36        0         0
#> 99.1  21.19      1  38        0         1
#> 167.1 15.55      1  56        1         0
#> 158   20.14      1  74        1         0
#> 154   12.63      1  20        1         0
#> 128.2 20.35      1  35        0         1
#> 150.1 20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 6.1   15.64      1  39        0         0
#> 180.2 14.82      1  37        0         0
#> 68    20.62      1  44        0         0
#> 29.1  15.45      1  68        1         0
#> 92.1  22.92      1  47        0         1
#> 145.1 10.07      1  65        1         0
#> 76    19.22      1  54        0         1
#> 136.2 21.83      1  43        0         1
#> 40    18.00      1  28        1         0
#> 177.1 12.53      1  75        0         0
#> 159.1 10.55      1  50        0         1
#> 154.1 12.63      1  20        1         0
#> 184   17.77      1  38        0         0
#> 183.1  9.24      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 154.2 12.63      1  20        1         0
#> 76.1  19.22      1  54        0         1
#> 150.2 20.33      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 29.2  15.45      1  68        1         0
#> 4.1   17.64      1  NA        0         1
#> 199   19.81      1  NA        0         1
#> 125.2 15.65      1  67        1         0
#> 168.2 23.72      1  70        0         0
#> 30    17.43      1  78        0         0
#> 127.1  3.53      1  62        0         1
#> 124    9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 119   24.00      0  17        0         0
#> 27    24.00      0  63        1         0
#> 64    24.00      0  43        0         0
#> 182   24.00      0  35        0         0
#> 182.1 24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 143   24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 131.1 24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 174.1 24.00      0  49        1         0
#> 75    24.00      0  21        1         0
#> 151   24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 173   24.00      0  19        0         1
#> 126   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 46.1  24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 20.1  24.00      0  46        1         0
#> 75.1  24.00      0  21        1         0
#> 156   24.00      0  50        1         0
#> 116   24.00      0  58        0         1
#> 143.1 24.00      0  51        0         0
#> 116.1 24.00      0  58        0         1
#> 53    24.00      0  32        0         1
#> 53.1  24.00      0  32        0         1
#> 165.1 24.00      0  47        0         0
#> 94    24.00      0  51        0         1
#> 19    24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 84.1  24.00      0  39        0         1
#> 46.2  24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 75.2  24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 182.2 24.00      0  35        0         0
#> 182.3 24.00      0  35        0         0
#> 151.1 24.00      0  42        0         0
#> 178   24.00      0  52        1         0
#> 172.1 24.00      0  41        0         0
#> 118   24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 138.1 24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 11.1  24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 19.1  24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 144   24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 146.1 24.00      0  63        1         0
#> 67    24.00      0  25        0         0
#> 3     24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 94.1  24.00      0  51        0         1
#> 160   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 73.1  24.00      0  NA        0         1
#> 185.1 24.00      0  44        1         0
#> 119.1 24.00      0  17        0         0
#> 148.1 24.00      0  61        1         0
#> 35.1  24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 62    24.00      0  71        0         0
#> 185.2 24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 33.1  24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 152.1 24.00      0  36        0         1
#> 7.1   24.00      0  37        1         0
#> 54    24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.22          NA        NA      NA
#> 2 age, Cure model           0.0271        NA        NA      NA
#> 3 grade_ii, Cure model     -0.230         NA        NA      NA
#> 4 grade_iii, Cure model     0.542         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00474        NA        NA      NA
#> 2 grade_ii, Survival model   0.993          NA        NA      NA
#> 3 grade_iii, Survival model  0.259          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.2209            0.0271           -0.2303            0.5423  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 249.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -1.2209444        0.0271000       -0.2303001        0.5423489 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00474172       0.99349664       0.25872243 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.758300731 0.373252831 0.588822394 0.231182347 0.984374787 0.007644408
#>   [7] 0.588822394 0.460847575 0.802561552 0.784807803 0.470849847 0.333741328
#>  [13] 0.057570525 0.186368584 0.304657990 0.262950986 0.231182347 0.373252831
#>  [19] 0.115405409 0.628111225 0.441144627 0.740541632 0.510335993 0.608417019
#>  [25] 0.128333452 0.952920687 0.219964331 0.151328142 0.903830969 0.968697627
#>  [31] 0.304657990 0.057570525 0.895453125 0.151328142 0.373252831 0.520155148
#>  [37] 0.441144627 0.569197537 0.870419175 0.091376813 0.976535261 0.676257475
#>  [43] 0.713892200 0.057570525 0.758300731 0.647959568 0.920505246 0.784807803
#>  [49] 0.186368584 0.749410672 0.026053250 0.569197537 0.174295926 0.470849847
#>  [55] 0.628111225 0.647959568 0.936887436 0.139734307 0.549439319 0.695347404
#>  [61] 0.007644408 0.402051976 0.402051976 0.811502877 0.853757063 0.520155148
#>  [67] 0.026053250 0.284489690 0.273988077 0.608417019 0.231182347 0.695347404
#>  [73] 0.363351239 0.829029956 0.304657990 0.333741328 0.820322216 0.676257475
#>  [79] 0.758300731 0.294541320 0.713892200 0.091376813 0.920505246 0.421599431
#>  [85] 0.186368584 0.490747527 0.853757063 0.870419175 0.829029956 0.500525957
#>  [91] 0.952920687 0.936887436 0.829029956 0.421599431 0.333741328 0.903830969
#>  [97] 0.713892200 0.647959568 0.026053250 0.539581659 0.984374787 0.887074324
#> [103] 0.559296512 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   180   170   181    99   127    78 181.1    88    81    57    51   150   164 
#> 14.82 19.54 16.46 21.19  3.53 23.88 16.46 18.37 14.06 14.46 18.23 20.33 23.60 
#>   136   128    90    36 170.1   113   100   179    18   110    85    63   183 
#> 21.83 20.35 20.94 21.19 19.54 22.86 16.07 18.63 15.21 17.56 16.44 22.77  9.24 
#>   139   169    93    25 128.1 164.1    52 169.1 170.2   111 179.1   130   159 
#> 21.49 22.41 10.33  6.32 20.35 23.60 10.42 22.41 19.54 17.45 18.63 16.47 10.55 
#>    92    91     6    29 164.2 180.1   125   145  57.1 136.1   157   168 130.1 
#> 22.92  5.33 15.64 15.45 23.60 14.82 15.65 10.07 14.46 21.83 15.10 23.72 16.47 
#>    66  51.1 100.1 125.1   187    15    45   167  78.1    55    58    60   177 
#> 22.13 18.23 16.07 15.65  9.92 22.68 17.42 15.55 23.88 19.34 19.34 13.15 12.53 
#> 111.1 168.1   190    32  85.1  99.1 167.1   158   154 128.2 150.1   123   6.1 
#> 17.45 23.72 20.81 20.90 16.44 21.19 15.55 20.14 12.63 20.35 20.33 13.00 15.64 
#> 180.2    68  29.1  92.1 145.1    76 136.2    40 177.1 159.1 154.1   184 183.1 
#> 14.82 20.62 15.45 22.92 10.07 19.22 21.83 18.00 12.53 10.55 12.63 17.77  9.24 
#> 187.1 154.2  76.1 150.2  93.1  29.2 125.2 168.2    30 127.1    10    23   119 
#>  9.92 12.63 19.22 20.33 10.33 15.45 15.65 23.72 17.43  3.53 10.53 16.92 24.00 
#>    27    64   182 182.1   138   148   174   172   143   152   165   131 131.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 174.1    75   151    46    80   198    35    84    20   173   126     2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1  20.1  75.1   156   116 143.1 116.1    53  53.1 165.1    94    19    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7    11  84.1  46.2    71   185  75.2    17 182.2 182.3 151.1   178 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   146   193 138.1    98  11.1    33  19.1    65   144    12 146.1    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     3 173.1 193.1  94.1   160   103 185.1 119.1 148.1  35.1   135    62 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28  33.1   196 152.1   7.1    54   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[29]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02356989                0.90239987                0.70482006 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.322421160            -0.003736555             0.770925877 
#>   grade_iii, Cure model 
#>             1.271333565 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 78    23.88      1  43        0         0
#> 111   17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 164   23.60      1  76        0         1
#> 170   19.54      1  43        0         1
#> 81    14.06      1  34        0         0
#> 108.1 18.29      1  39        0         1
#> 180   14.82      1  37        0         0
#> 124    9.73      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 108.2 18.29      1  39        0         1
#> 91     5.33      1  61        0         1
#> 49    12.19      1  48        1         0
#> 25     6.32      1  34        1         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 16     8.71      1  71        0         1
#> 5     16.43      1  51        0         1
#> 158   20.14      1  74        1         0
#> 61.1  10.12      1  36        0         1
#> 13    14.34      1  54        0         1
#> 101    9.97      1  10        0         1
#> 60    13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 97    19.14      1  65        0         1
#> 13.1  14.34      1  54        0         1
#> 55    19.34      1  69        0         1
#> 6     15.64      1  39        0         0
#> 105   19.75      1  60        0         0
#> 123   13.00      1  44        1         0
#> 167   15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 4     17.64      1  NA        0         1
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 159   10.55      1  50        0         1
#> 14.1  12.89      1  21        0         0
#> 81.1  14.06      1  34        0         0
#> 154   12.63      1  20        1         0
#> 171   16.57      1  41        0         1
#> 136   21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 159.1 10.55      1  50        0         1
#> 89.1  11.44      1  NA        0         0
#> 18    15.21      1  49        1         0
#> 23    16.92      1  61        0         0
#> 101.1  9.97      1  10        0         1
#> 43    12.10      1  61        0         1
#> 179   18.63      1  42        0         0
#> 96    14.54      1  33        0         1
#> 55.1  19.34      1  69        0         1
#> 97.1  19.14      1  65        0         1
#> 128   20.35      1  35        0         1
#> 110   17.56      1  65        0         1
#> 88    18.37      1  47        0         0
#> 159.2 10.55      1  50        0         1
#> 197   21.60      1  69        1         0
#> 134   17.81      1  47        1         0
#> 171.1 16.57      1  41        0         1
#> 158.1 20.14      1  74        1         0
#> 89.2  11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 145.1 10.07      1  65        1         0
#> 107.1 11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 183    9.24      1  67        1         0
#> 153.1 21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 133   14.65      1  57        0         0
#> 175   21.91      1  43        0         0
#> 16.1   8.71      1  71        0         1
#> 124.1  9.73      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 128.1 20.35      1  35        0         1
#> 70     7.38      1  30        1         0
#> 195   11.76      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 113.1 22.86      1  34        0         0
#> 153.2 21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 181   16.46      1  45        0         1
#> 134.1 17.81      1  47        1         0
#> 183.1  9.24      1  67        1         0
#> 43.1  12.10      1  61        0         1
#> 106   16.67      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 81.2  14.06      1  34        0         0
#> 155.1 13.08      1  26        0         0
#> 61.2  10.12      1  36        0         1
#> 78.1  23.88      1  43        0         0
#> 197.1 21.60      1  69        1         0
#> 59    10.16      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 123.2 13.00      1  44        1         0
#> 139.1 21.49      1  63        1         0
#> 183.2  9.24      1  67        1         0
#> 128.2 20.35      1  35        0         1
#> 123.3 13.00      1  44        1         0
#> 180.1 14.82      1  37        0         0
#> 45    17.42      1  54        0         1
#> 15    22.68      1  48        0         0
#> 140   12.68      1  59        1         0
#> 49.1  12.19      1  48        1         0
#> 97.2  19.14      1  65        0         1
#> 90.1  20.94      1  50        0         1
#> 129   23.41      1  53        1         0
#> 155.2 13.08      1  26        0         0
#> 154.1 12.63      1  20        1         0
#> 171.2 16.57      1  41        0         1
#> 130   16.47      1  53        0         1
#> 3     24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 28    24.00      0  67        1         0
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 137   24.00      0  45        1         0
#> 200.1 24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 21    24.00      0  47        0         0
#> 11    24.00      0  42        0         1
#> 160   24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 72    24.00      0  40        0         1
#> 21.1  24.00      0  47        0         0
#> 156   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 103   24.00      0  56        1         0
#> 148   24.00      0  61        1         0
#> 19    24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 118   24.00      0  44        1         0
#> 12    24.00      0  63        0         0
#> 34    24.00      0  36        0         0
#> 122   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 3.1   24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 120   24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 62.1  24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 126   24.00      0  48        0         0
#> 87.2  24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 87.3  24.00      0  27        0         0
#> 176   24.00      0  43        0         1
#> 116.1 24.00      0  58        0         1
#> 22    24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 191   24.00      0  60        0         1
#> 80    24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 147.1 24.00      0  76        1         0
#> 22.1  24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 21.2  24.00      0  47        0         0
#> 126.1 24.00      0  48        0         0
#> 21.3  24.00      0  47        0         0
#> 151   24.00      0  42        0         0
#> 186   24.00      0  45        1         0
#> 35.1  24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 198.1 24.00      0  66        0         1
#> 156.2 24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 109   24.00      0  48        0         0
#> 21.4  24.00      0  47        0         0
#> 67    24.00      0  25        0         0
#> 9.1   24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 12.1  24.00      0  63        0         0
#> 185   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 102.1 24.00      0  49        0         0
#> 132.1 24.00      0  55        0         0
#> 146   24.00      0  63        1         0
#> 95.1  24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 160.1 24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 94    24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 156.3 24.00      0  50        1         0
#> 34.1  24.00      0  36        0         0
#> 44.1  24.00      0  56        0         0
#> 1     24.00      0  23        1         0
#> 34.2  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.322          NA        NA      NA
#> 2 age, Cure model         -0.00374        NA        NA      NA
#> 3 grade_ii, Cure model     0.771          NA        NA      NA
#> 4 grade_iii, Cure model    1.27           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0236        NA        NA      NA
#> 2 grade_ii, Survival model    0.902         NA        NA      NA
#> 3 grade_iii, Survival model   0.705         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.322421         -0.003737          0.770926          1.271334  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 247.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.322421160     -0.003736555      0.770925877      1.271333565 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02356989       0.90239987       0.70482006 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 7.800904e-01 4.029817e-05 2.100636e-01 1.582236e-01 6.336826e-04
#>   [6] 9.796989e-02 4.108782e-01 1.582236e-01 3.415988e-01 5.486197e-01
#>  [11] 1.582236e-01 9.848360e-01 6.412802e-01 9.697923e-01 6.145530e-01
#>  [16] 6.956313e-01 9.247231e-01 2.984778e-01 7.363646e-02 7.800904e-01
#>  [21] 3.872918e-01 8.522498e-01 4.474572e-01 2.983168e-02 1.187247e-01
#>  [26] 3.872918e-01 1.046815e-01 3.090102e-01 9.137836e-02 4.979823e-01
#>  [31] 3.197630e-01 6.278089e-01 4.805549e-02 8.229460e-01 7.234338e-01
#>  [36] 5.486197e-01 4.108782e-01 5.885250e-01 2.485421e-01 1.137636e-02
#>  [41] 7.234338e-01 3.306406e-01 2.288607e-01 8.522498e-01 6.681687e-01
#>  [46] 1.413493e-01 3.756262e-01 1.046815e-01 1.187247e-01 5.838823e-02
#>  [51] 2.008872e-01 1.496272e-01 7.234338e-01 1.452947e-02 1.833929e-01
#>  [56] 2.485421e-01 7.363646e-02 8.512812e-02 8.229460e-01 6.956313e-01
#>  [61] 4.301451e-02 8.809628e-01 2.983168e-02 2.855283e-03 3.639862e-01
#>  [66] 8.442800e-03 9.247231e-01 7.656438e-01 5.838823e-02 9.547237e-01
#>  [71] 4.979823e-01 2.855283e-03 2.983168e-02 4.599960e-01 2.880890e-01
#>  [76] 1.833929e-01 8.809628e-01 6.681687e-01 2.386561e-01 4.108782e-01
#>  [81] 4.599960e-01 7.800904e-01 4.029817e-05 1.452947e-02 2.157742e-02
#>  [86] 4.979823e-01 2.157742e-02 8.809628e-01 5.838823e-02 4.979823e-01
#>  [91] 3.415988e-01 2.193749e-01 6.042958e-03 5.750390e-01 6.412802e-01
#>  [96] 1.187247e-01 4.805549e-02 1.622994e-03 4.599960e-01 5.885250e-01
#> [101] 2.485421e-01 2.778112e-01 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    61    78   111   108   164   170    81 108.1   180    14 108.2    91    49 
#> 10.12 23.88 17.45 18.29 23.60 19.54 14.06 18.29 14.82 12.89 18.29  5.33 12.19 
#>    25    37   107    16     5   158  61.1    13   101    60   153    97  13.1 
#>  6.32 12.52 11.18  8.71 16.43 20.14 10.12 14.34  9.97 13.15 21.33 19.14 14.34 
#>    55     6   105   123   167    56    90   145   159  14.1  81.1   154   171 
#> 19.34 15.64 19.75 13.00 15.55 12.21 20.94 10.07 10.55 12.89 14.06 12.63 16.57 
#>   136 159.1    18    23 101.1    43   179    96  55.1  97.1   128   110    88 
#> 21.83 10.55 15.21 16.92  9.97 12.10 18.63 14.54 19.34 19.14 20.35 17.56 18.37 
#> 159.2   197   134 171.1 158.1   166 145.1 107.1    99   183 153.1   113   133 
#> 10.55 21.60 17.81 16.57 20.14 19.98 10.07 11.18 21.19  9.24 21.33 22.86 14.65 
#>   175  16.1    93 128.1    70 123.1 113.1 153.2   155   181 134.1 183.1  43.1 
#> 21.91  8.71 10.33 20.35  7.38 13.00 22.86 21.33 13.08 16.46 17.81  9.24 12.10 
#>   106  81.2 155.1  61.2  78.1 197.1   139 123.2 139.1 183.2 128.2 123.3 180.1 
#> 16.67 14.06 13.08 10.12 23.88 21.60 21.49 13.00 21.49  9.24 20.35 13.00 14.82 
#>    45    15   140  49.1  97.2  90.1   129 155.2 154.1 171.2   130     3   147 
#> 17.42 22.68 12.68 12.19 19.14 20.94 23.41 13.08 12.63 16.57 16.47 24.00 24.00 
#>    28   200    95    74   119   102   116   137 200.1    83    21    11   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    72  21.1   156     9   198    35  87.1   103   148    19   142    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118    12    34   122    44    98   3.1   173   120 142.1  62.1   172   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126  87.2    84  87.3   176 116.1    22  11.1   191    80   152 147.1  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 176.1  21.2 126.1  21.3   151   186  35.1 156.1 198.1 156.2    64   109  21.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   9.1  12.1   185    20 102.1 132.1   146  95.1    27 160.1   144    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54 156.3  34.1  44.1     1  34.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[30]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003056462               0.756089509               0.741405778 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.22920852              0.01100014              0.99159476 
#>   grade_iii, Cure model 
#>              1.83815443 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 107   11.18      1  54        1         0
#> 111   17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 69    23.23      1  25        0         1
#> 170   19.54      1  43        0         1
#> 140   12.68      1  59        1         0
#> 183    9.24      1  67        1         0
#> 129   23.41      1  53        1         0
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 42    12.43      1  49        0         1
#> 192   16.44      1  31        1         0
#> 45    17.42      1  54        0         1
#> 97    19.14      1  65        0         1
#> 150   20.33      1  48        0         0
#> 105   19.75      1  60        0         0
#> 149    8.37      1  33        1         0
#> 194   22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 170.1 19.54      1  43        0         1
#> 24    23.89      1  38        0         0
#> 61    10.12      1  36        0         1
#> 40    18.00      1  28        1         0
#> 105.1 19.75      1  60        0         0
#> 57    14.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 181.1 16.46      1  45        0         1
#> 158   20.14      1  74        1         0
#> 25     6.32      1  34        1         0
#> 117   17.46      1  26        0         1
#> 86    23.81      1  58        0         1
#> 129.1 23.41      1  53        1         0
#> 159   10.55      1  50        0         1
#> 93    10.33      1  52        0         1
#> 158.1 20.14      1  74        1         0
#> 140.1 12.68      1  59        1         0
#> 150.1 20.33      1  48        0         0
#> 41    18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 4     17.64      1  NA        0         1
#> 140.2 12.68      1  59        1         0
#> 85    16.44      1  36        0         0
#> 183.2  9.24      1  67        1         0
#> 140.3 12.68      1  59        1         0
#> 175   21.91      1  43        0         0
#> 155   13.08      1  26        0         0
#> 97.1  19.14      1  65        0         1
#> 117.1 17.46      1  26        0         1
#> 188   16.16      1  46        0         1
#> 145   10.07      1  65        1         0
#> 61.1  10.12      1  36        0         1
#> 197   21.60      1  69        1         0
#> 171   16.57      1  41        0         1
#> 107.1 11.18      1  54        1         0
#> 159.1 10.55      1  50        0         1
#> 56    12.21      1  60        0         0
#> 106   16.67      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 113   22.86      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 61.2  10.12      1  36        0         1
#> 50    10.02      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 36    21.19      1  48        0         1
#> 125   15.65      1  67        1         0
#> 154   12.63      1  20        1         0
#> 199.1 19.81      1  NA        0         1
#> 188.1 16.16      1  46        0         1
#> 192.1 16.44      1  31        1         0
#> 108   18.29      1  39        0         1
#> 111.1 17.45      1  47        0         1
#> 10    10.53      1  34        0         0
#> 70     7.38      1  30        1         0
#> 183.3  9.24      1  67        1         0
#> 26.1  15.77      1  49        0         1
#> 93.1  10.33      1  52        0         1
#> 97.2  19.14      1  65        0         1
#> 81.1  14.06      1  34        0         0
#> 16.1   8.71      1  71        0         1
#> 154.1 12.63      1  20        1         0
#> 99    21.19      1  38        0         1
#> 197.1 21.60      1  69        1         0
#> 77     7.27      1  67        0         1
#> 114   13.68      1  NA        0         0
#> 61.3  10.12      1  36        0         1
#> 15    22.68      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 24.2  23.89      1  38        0         0
#> 93.2  10.33      1  52        0         1
#> 18    15.21      1  49        1         0
#> 130   16.47      1  53        0         1
#> 110   17.56      1  65        0         1
#> 81.2  14.06      1  34        0         0
#> 117.2 17.46      1  26        0         1
#> 39    15.59      1  37        0         1
#> 169   22.41      1  46        0         0
#> 43    12.10      1  61        0         1
#> 170.2 19.54      1  43        0         1
#> 43.1  12.10      1  61        0         1
#> 188.2 16.16      1  46        0         1
#> 43.2  12.10      1  61        0         1
#> 129.2 23.41      1  53        1         0
#> 40.1  18.00      1  28        1         0
#> 108.1 18.29      1  39        0         1
#> 29.1  15.45      1  68        1         0
#> 123   13.00      1  44        1         0
#> 177   12.53      1  75        0         0
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 122   24.00      0  66        0         0
#> 35    24.00      0  51        0         0
#> 64    24.00      0  43        0         0
#> 64.1  24.00      0  43        0         0
#> 144   24.00      0  28        0         1
#> 122.1 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 196   24.00      0  19        0         0
#> 47    24.00      0  38        0         1
#> 64.2  24.00      0  43        0         0
#> 48    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 173   24.00      0  19        0         1
#> 115   24.00      0  NA        1         0
#> 144.1 24.00      0  28        0         1
#> 137   24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 200.1 24.00      0  64        0         0
#> 67    24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 112   24.00      0  61        0         0
#> 31    24.00      0  36        0         1
#> 94    24.00      0  51        0         1
#> 151   24.00      0  42        0         0
#> 67.1  24.00      0  25        0         0
#> 48.1  24.00      0  31        1         0
#> 3     24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 44.1  24.00      0  56        0         0
#> 138   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 200.2 24.00      0  64        0         0
#> 67.2  24.00      0  25        0         0
#> 200.3 24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 163.1 24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 137.1 24.00      0  45        1         0
#> 172.1 24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 162   24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 163.2 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 122.2 24.00      0  66        0         0
#> 3.1   24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 65    24.00      0  57        1         0
#> 48.2  24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 73    24.00      0  NA        0         1
#> 137.2 24.00      0  45        1         0
#> 163.3 24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 62    24.00      0  71        0         0
#> 95.1  24.00      0  68        0         1
#> 67.3  24.00      0  25        0         0
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 38.1  24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 7.1   24.00      0  37        1         0
#> 74.1  24.00      0  43        0         1
#> 141.1 24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 33.1  24.00      0  53        0         0
#> 126   24.00      0  48        0         0
#> 178.1 24.00      0  52        1         0
#> 196.2 24.00      0  19        0         0
#> 12    24.00      0  63        0         0
#> 138.1 24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 135   24.00      0  58        1         0
#> 72    24.00      0  40        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.23          NA        NA      NA
#> 2 age, Cure model           0.0110        NA        NA      NA
#> 3 grade_ii, Cure model      0.992         NA        NA      NA
#> 4 grade_iii, Cure model     1.84          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00306        NA        NA      NA
#> 2 grade_ii, Survival model   0.756          NA        NA      NA
#> 3 grade_iii, Survival model  0.741          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.2292            0.0110            0.9916            1.8382  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.1 
#> Residual Deviance: 238.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.22920852       0.01100014       0.99159476       1.83815443 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003056462      0.756089509      0.741405778 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.42900395 0.89452488 0.63779748 0.79876725 0.26399848 0.50789230
#>   [7] 0.82683171 0.95620890 0.21100404 0.87432524 0.68797593 0.95620890
#>  [13] 0.86388144 0.70132033 0.65262584 0.53727671 0.44105433 0.48635564
#>  [19] 0.98269110 0.33285347 0.78738447 0.50789230 0.07306374 0.93321112
#>  [25] 0.59038136 0.48635564 0.79310462 0.74572634 0.68797593 0.46462548
#>  [31] 0.99571305 0.61493273 0.17798118 0.21100404 0.90440286 0.91899969
#>  [37] 0.46462548 0.82683171 0.44105433 0.58178237 0.76997408 0.82683171
#>  [43] 0.70132033 0.95620890 0.82683171 0.34875344 0.81559609 0.53727671
#>  [49] 0.61493273 0.72704848 0.95161098 0.93321112 0.36455239 0.67408371
#>  [55] 0.89452488 0.90440286 0.86910650 0.65995899 0.65995899 0.70132033
#>  [61] 0.97392246 0.28141288 0.93321112 0.07306374 0.39171444 0.75793642
#>  [67] 0.84808451 0.72704848 0.70132033 0.56435173 0.63779748 0.91412731
#>  [73] 0.98705876 0.95620890 0.74572634 0.91899969 0.53727671 0.79876725
#>  [79] 0.97392246 0.84808451 0.39171444 0.36455239 0.99140079 0.93321112
#>  [85] 0.29871044 0.41648381 0.07306374 0.91899969 0.78160887 0.68108181
#>  [91] 0.60682632 0.79876725 0.61493273 0.76398726 0.31585147 0.87949869
#>  [97] 0.50789230 0.87949869 0.72704848 0.87949869 0.21100404 0.59038136
#> [103] 0.56435173 0.76997408 0.82124150 0.85861055 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   128   107   111    81    69   170   140   183   129    49   181 183.1    42 
#> 20.35 11.18 17.45 14.06 23.23 19.54 12.68  9.24 23.41 12.19 16.46  9.24 12.43 
#>   192    45    97   150   105   149   194    96 170.1    24    61    40 105.1 
#> 16.44 17.42 19.14 20.33 19.75  8.37 22.40 14.54 19.54 23.89 10.12 18.00 19.75 
#>    57    26 181.1   158    25   117    86 129.1   159    93 158.1 140.1 150.1 
#> 14.46 15.77 16.46 20.14  6.32 17.46 23.81 23.41 10.55 10.33 20.14 12.68 20.33 
#>    41    29 140.2    85 183.2 140.3   175   155  97.1 117.1   188   145  61.1 
#> 18.02 15.45 12.68 16.44  9.24 12.68 21.91 13.08 19.14 17.46 16.16 10.07 10.12 
#>   197   171 107.1 159.1    56   106 106.1  85.1    16   113  61.2  24.1    36 
#> 21.60 16.57 11.18 10.55 12.21 16.67 16.67 16.44  8.71 22.86 10.12 23.89 21.19 
#>   125   154 188.1 192.1   108 111.1    10    70 183.3  26.1  93.1  97.2  81.1 
#> 15.65 12.63 16.16 16.44 18.29 17.45 10.53  7.38  9.24 15.77 10.33 19.14 14.06 
#>  16.1 154.1    99 197.1    77  61.3    15    68  24.2  93.2    18   130   110 
#>  8.71 12.63 21.19 21.60  7.27 10.12 22.68 20.62 23.89 10.33 15.21 16.47 17.56 
#>  81.2 117.2    39   169    43 170.2  43.1 188.2  43.2 129.2  40.1 108.1  29.1 
#> 14.06 17.46 15.59 22.41 12.10 19.54 12.10 16.16 12.10 23.41 18.00 18.29 15.45 
#>   123   177    33   165   119   172   122    35    64  64.1   144 122.1   176 
#> 13.00 12.53 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    47  64.2    48   200   173 144.1   137   178 200.1    67    44   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    94   151  67.1  48.1     3 119.1    74  44.1   138    46 200.2  67.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 200.3   163   191 163.1    19    34 137.1 172.1    95   162    83 163.2    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 122.2   3.1 196.1    65  48.2   147 137.2 163.3   102   185   141     7   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    62  95.1  67.3    38   118   156 176.1  38.1  95.2   7.1  74.1 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186  33.1   126 178.1 196.2    12 138.1   160   135    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[31]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01110133                0.58486980                0.09359103 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.161783226             0.004749973            -0.119385728 
#>   grade_iii, Cure model 
#>             0.543391895 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 92    22.92      1  47        0         1
#> 192   16.44      1  31        1         0
#> 69    23.23      1  25        0         1
#> 99    21.19      1  38        0         1
#> 86    23.81      1  58        0         1
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 79    16.23      1  54        1         0
#> 14    12.89      1  21        0         0
#> 14.1  12.89      1  21        0         0
#> 123   13.00      1  44        1         0
#> 125   15.65      1  67        1         0
#> 8     18.43      1  32        0         0
#> 128   20.35      1  35        0         1
#> 127    3.53      1  62        0         1
#> 36    21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 86.1  23.81      1  58        0         1
#> 183    9.24      1  67        1         0
#> 181   16.46      1  45        0         1
#> 26    15.77      1  49        0         1
#> 139   21.49      1  63        1         0
#> 61    10.12      1  36        0         1
#> 90    20.94      1  50        0         1
#> 145   10.07      1  65        1         0
#> 110   17.56      1  65        0         1
#> 154   12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 107   11.18      1  54        1         0
#> 177   12.53      1  75        0         0
#> 175   21.91      1  43        0         0
#> 60    13.15      1  38        1         0
#> 158   20.14      1  74        1         0
#> 36.1  21.19      1  48        0         1
#> 129   23.41      1  53        1         0
#> 81    14.06      1  34        0         0
#> 128.1 20.35      1  35        0         1
#> 66    22.13      1  53        0         0
#> 175.1 21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 107.1 11.18      1  54        1         0
#> 194   22.40      1  38        0         1
#> 150   20.33      1  48        0         0
#> 66.1  22.13      1  53        0         0
#> 190   20.81      1  42        1         0
#> 88    18.37      1  47        0         0
#> 158.1 20.14      1  74        1         0
#> 42    12.43      1  49        0         1
#> 169.1 22.41      1  46        0         0
#> 139.1 21.49      1  63        1         0
#> 125.1 15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 129.1 23.41      1  53        1         0
#> 40    18.00      1  28        1         0
#> 8.1   18.43      1  32        0         0
#> 154.1 12.63      1  20        1         0
#> 69.1  23.23      1  25        0         1
#> 108   18.29      1  39        0         1
#> 68    20.62      1  44        0         0
#> 68.1  20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 190.1 20.81      1  42        1         0
#> 168.1 23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 92.1  22.92      1  47        0         1
#> 108.1 18.29      1  39        0         1
#> 114   13.68      1  NA        0         0
#> 123.1 13.00      1  44        1         0
#> 36.2  21.19      1  48        0         1
#> 39    15.59      1  37        0         1
#> 91     5.33      1  61        0         1
#> 159   10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 100   16.07      1  60        0         0
#> 59    10.16      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 188   16.16      1  46        0         1
#> 23    16.92      1  61        0         0
#> 45    17.42      1  54        0         1
#> 10.1  10.53      1  34        0         0
#> 86.2  23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 111   17.45      1  47        0         1
#> 166   19.98      1  48        0         0
#> 129.2 23.41      1  53        1         0
#> 8.2   18.43      1  32        0         0
#> 188.1 16.16      1  46        0         1
#> 30    17.43      1  78        0         0
#> 154.2 12.63      1  20        1         0
#> 25     6.32      1  34        1         0
#> 89    11.44      1  NA        0         0
#> 37    12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 93.1  10.33      1  52        0         1
#> 61.1  10.12      1  36        0         1
#> 171   16.57      1  41        0         1
#> 45.1  17.42      1  54        0         1
#> 169.2 22.41      1  46        0         0
#> 189.1 10.51      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 93.2  10.33      1  52        0         1
#> 56.1  12.21      1  60        0         0
#> 70     7.38      1  30        1         0
#> 42.1  12.43      1  49        0         1
#> 194.1 22.40      1  38        0         1
#> 89.1  11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 45.2  17.42      1  54        0         1
#> 123.2 13.00      1  44        1         0
#> 166.1 19.98      1  48        0         0
#> 125.2 15.65      1  67        1         0
#> 131   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 34    24.00      0  36        0         0
#> 3     24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 64    24.00      0  43        0         0
#> 47    24.00      0  38        0         1
#> 84    24.00      0  39        0         1
#> 28    24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 163   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 131.1 24.00      0  66        0         0
#> 120.1 24.00      0  68        0         1
#> 20    24.00      0  46        1         0
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 138   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 131.2 24.00      0  66        0         0
#> 115   24.00      0  NA        1         0
#> 137   24.00      0  45        1         0
#> 120.2 24.00      0  68        0         1
#> 137.1 24.00      0  45        1         0
#> 38    24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 75    24.00      0  21        1         0
#> 191   24.00      0  60        0         1
#> 116   24.00      0  58        0         1
#> 132   24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 156.1 24.00      0  50        1         0
#> 12    24.00      0  63        0         0
#> 44    24.00      0  56        0         0
#> 3.1   24.00      0  31        1         0
#> 38.1  24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 64.2  24.00      0  43        0         0
#> 198   24.00      0  66        0         1
#> 160.1 24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 44.1  24.00      0  56        0         0
#> 95    24.00      0  68        0         1
#> 75.1  24.00      0  21        1         0
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 53    24.00      0  32        0         1
#> 17    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 173.1 24.00      0  19        0         1
#> 160.2 24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 200   24.00      0  64        0         0
#> 118   24.00      0  44        1         0
#> 160.3 24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 35.2  24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 173.2 24.00      0  19        0         1
#> 138.1 24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 200.1 24.00      0  64        0         0
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 115.1 24.00      0  NA        1         0
#> 160.4 24.00      0  31        1         0
#> 17.1  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 178.1 24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 163.1 24.00      0  66        0         0
#> 135.2 24.00      0  58        1         0
#> 94.2  24.00      0  51        0         1
#> 172.1 24.00      0  41        0         0
#> 146.1 24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.162          NA        NA      NA
#> 2 age, Cure model          0.00475        NA        NA      NA
#> 3 grade_ii, Cure model    -0.119          NA        NA      NA
#> 4 grade_iii, Cure model    0.543          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0111        NA        NA      NA
#> 2 grade_ii, Survival model    0.585         NA        NA      NA
#> 3 grade_iii, Survival model   0.0936        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.16178           0.00475          -0.11939           0.54339  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 258.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.161783226      0.004749973     -0.119385728      0.543391895 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01110133       0.58486980       0.09359103 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0462803918 0.4607605018 0.0359969871 0.1483319902 0.0034716225
#>   [6] 0.9261165141 0.9261165141 0.4718110403 0.6425244187 0.6425244187
#>  [11] 0.6083263720 0.5278477358 0.2959625677 0.2226845556 0.9875889589
#>  [16] 0.1483319902 0.0635078022 0.0034716225 0.9013246845 0.4496373718
#>  [21] 0.5164101220 0.1327373923 0.8645517562 0.1800214582 0.8889957070
#>  [26] 0.3649790668 0.6657029465 0.0122051575 0.7691180693 0.6994037262
#>  [31] 0.1097304076 0.5850084986 0.2494299150 0.1483319902 0.0223512070
#>  [36] 0.5733370490 0.2226845556 0.0954076945 0.1097304076 0.1248016564
#>  [41] 0.7691180693 0.0819832938 0.2403090610 0.0954076945 0.1886792675
#>  [46] 0.3247660411 0.2494299150 0.7224631748 0.0635078022 0.1327373923
#>  [51] 0.5278477358 0.9136784940 0.0223512070 0.3548794806 0.2959625677
#>  [56] 0.6657029465 0.0359969871 0.3347901459 0.2054098083 0.2054098083
#>  [61] 0.0574342985 0.1886792675 0.0122051575 0.0462803918 0.3347901459
#>  [66] 0.6083263720 0.1483319902 0.5617398277 0.9752474434 0.7926334456
#>  [71] 0.8045454671 0.5050636406 0.7456131659 0.4828653437 0.4276568191
#>  [76] 0.3960330699 0.8045454671 0.0034716225 0.8284137367 0.3752106959
#>  [81] 0.2676136481 0.0223512070 0.2959625677 0.4828653437 0.3855404465
#>  [86] 0.6657029465 0.9629745928 0.7109290752 0.2863228001 0.8284137367
#>  [91] 0.8645517562 0.4386053129 0.3960330699 0.0635078022 0.0007556637
#>  [96] 0.8284137367 0.7456131659 0.9506655843 0.7224631748 0.0819832938
#> [101] 0.5966388730 0.3960330699 0.6083263720 0.2676136481 0.5278477358
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000
#> 
#> $Time
#>    92   192    69    99    86   149 149.1    79    14  14.1   123   125     8 
#> 22.92 16.44 23.23 21.19 23.81  8.37  8.37 16.23 12.89 12.89 13.00 15.65 18.43 
#>   128   127    36   169  86.1   183   181    26   139    61    90   145   110 
#> 20.35  3.53 21.19 22.41 23.81  9.24 16.46 15.77 21.49 10.12 20.94 10.07 17.56 
#>   154   168   107   177   175    60   158  36.1   129    81 128.1    66 175.1 
#> 12.63 23.72 11.18 12.53 21.91 13.15 20.14 21.19 23.41 14.06 20.35 22.13 21.91 
#>   136 107.1   194   150  66.1   190    88 158.1    42 169.1 139.1 125.1    16 
#> 21.83 11.18 22.40 20.33 22.13 20.81 18.37 20.14 12.43 22.41 21.49 15.65  8.71 
#> 129.1    40   8.1 154.1  69.1   108    68  68.1   113 190.1 168.1  92.1 108.1 
#> 23.41 18.00 18.43 12.63 23.23 18.29 20.62 20.62 22.86 20.81 23.72 22.92 18.29 
#> 123.1  36.2    39    91   159    10   100    56   188    23    45  10.1  86.2 
#> 13.00 21.19 15.59  5.33 10.55 10.53 16.07 12.21 16.16 16.92 17.42 10.53 23.81 
#>    93   111   166 129.2   8.2 188.1    30 154.2    25    37    76  93.1  61.1 
#> 10.33 17.45 19.98 23.41 18.43 16.16 17.43 12.63  6.32 12.52 19.22 10.33 10.12 
#>   171  45.1 169.2    24  93.2  56.1    70  42.1 194.1   155  45.2 123.2 166.1 
#> 16.57 17.42 22.41 23.89 10.33 12.21  7.38 12.43 22.40 13.08 17.42 13.00 19.98 
#> 125.2   131   120    34     3   186    64    47    84    28   142   146   178 
#> 15.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   163    67   161 131.1 120.1    20   156   160   109   138    94 131.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 120.2 137.1    38   143    75   191   116   132   172  35.1   135 156.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    12    44   3.1  38.1  64.1  64.2   198 160.1  84.1   173    27    72  44.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    95  75.1   151    87    53    17   185    31 173.1 160.2    21    83   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118 160.3   148  35.2  47.1 135.1 173.2 138.1  94.1 200.1   104    11 160.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1 151.1 178.1    98 163.1 135.2  94.2 172.1 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[32]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004535393               0.395634662               0.189763923 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.383477644             0.009068203            -0.151010742 
#>   grade_iii, Cure model 
#>             0.590409392 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 51    18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 15    22.68      1  48        0         0
#> 105   19.75      1  60        0         0
#> 149    8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 88    18.37      1  47        0         0
#> 153   21.33      1  55        1         0
#> 5     16.43      1  51        0         1
#> 157   15.10      1  47        0         0
#> 105.1 19.75      1  60        0         0
#> 42    12.43      1  49        0         1
#> 69    23.23      1  25        0         1
#> 129   23.41      1  53        1         0
#> 129.1 23.41      1  53        1         0
#> 108   18.29      1  39        0         1
#> 86    23.81      1  58        0         1
#> 96    14.54      1  33        0         1
#> 52    10.42      1  52        0         1
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 49    12.19      1  48        1         0
#> 40    18.00      1  28        1         0
#> 86.1  23.81      1  58        0         1
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 24    23.89      1  38        0         0
#> 85    16.44      1  36        0         0
#> 92    22.92      1  47        0         1
#> 77     7.27      1  67        0         1
#> 154   12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 184   17.77      1  38        0         0
#> 8     18.43      1  32        0         0
#> 117   17.46      1  26        0         1
#> 68    20.62      1  44        0         0
#> 184.1 17.77      1  38        0         0
#> 136   21.83      1  43        0         1
#> 57    14.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 168.1 23.72      1  70        0         0
#> 155   13.08      1  26        0         0
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 153.2 21.33      1  55        1         0
#> 6     15.64      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 49.1  12.19      1  48        1         0
#> 171   16.57      1  41        0         1
#> 57.1  14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 86.2  23.81      1  58        0         1
#> 66    22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 52.1  10.42      1  52        0         1
#> 123   13.00      1  44        1         0
#> 68.1  20.62      1  44        0         0
#> 149.1  8.37      1  33        1         0
#> 145   10.07      1  65        1         0
#> 181   16.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 66.1  22.13      1  53        0         0
#> 89    11.44      1  NA        0         0
#> 45    17.42      1  54        0         1
#> 99    21.19      1  38        0         1
#> 92.1  22.92      1  47        0         1
#> 60    13.15      1  38        1         0
#> 68.2  20.62      1  44        0         0
#> 96.1  14.54      1  33        0         1
#> 133.2 14.65      1  57        0         0
#> 190.1 20.81      1  42        1         0
#> 91.1   5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 52.2  10.42      1  52        0         1
#> 85.1  16.44      1  36        0         0
#> 18    15.21      1  49        1         0
#> 157.1 15.10      1  47        0         0
#> 105.2 19.75      1  60        0         0
#> 16     8.71      1  71        0         1
#> 113   22.86      1  34        0         0
#> 97    19.14      1  65        0         1
#> 37    12.52      1  57        1         0
#> 50    10.02      1  NA        1         0
#> 86.3  23.81      1  58        0         1
#> 6.1   15.64      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 85.2  16.44      1  36        0         0
#> 30    17.43      1  78        0         0
#> 29    15.45      1  68        1         0
#> 164   23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 5.1   16.43      1  51        0         1
#> 169.1 22.41      1  46        0         0
#> 10    10.53      1  34        0         0
#> 26    15.77      1  49        0         1
#> 99.1  21.19      1  38        0         1
#> 25     6.32      1  34        1         0
#> 26.1  15.77      1  49        0         1
#> 188   16.16      1  46        0         1
#> 111   17.45      1  47        0         1
#> 90    20.94      1  50        0         1
#> 60.1  13.15      1  38        1         0
#> 29.1  15.45      1  68        1         0
#> 63    22.77      1  31        1         0
#> 130.1 16.47      1  53        0         1
#> 63.1  22.77      1  31        1         0
#> 18.1  15.21      1  49        1         0
#> 177   12.53      1  75        0         0
#> 108.1 18.29      1  39        0         1
#> 111.1 17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 193   24.00      0  45        0         1
#> 142   24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 53    24.00      0  32        0         1
#> 72    24.00      0  40        0         1
#> 172   24.00      0  41        0         0
#> 119.1 24.00      0  17        0         0
#> 109   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 147   24.00      0  76        1         0
#> 142.1 24.00      0  53        0         0
#> 152   24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 126   24.00      0  48        0         0
#> 28    24.00      0  67        1         0
#> 53.1  24.00      0  32        0         1
#> 142.2 24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 156   24.00      0  50        1         0
#> 118.1 24.00      0  44        1         0
#> 126.1 24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 131   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 174   24.00      0  49        1         0
#> 200   24.00      0  64        0         0
#> 98    24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 178   24.00      0  52        1         0
#> 156.1 24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 28.1  24.00      0  67        1         0
#> 3     24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 31    24.00      0  36        0         1
#> 178.1 24.00      0  52        1         0
#> 120.1 24.00      0  68        0         1
#> 53.2  24.00      0  32        0         1
#> 161   24.00      0  45        0         0
#> 75    24.00      0  21        1         0
#> 147.1 24.00      0  76        1         0
#> 67    24.00      0  25        0         0
#> 135   24.00      0  58        1         0
#> 72.1  24.00      0  40        0         1
#> 200.1 24.00      0  64        0         0
#> 11    24.00      0  42        0         1
#> 135.1 24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 146   24.00      0  63        1         0
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 172.2 24.00      0  41        0         0
#> 2     24.00      0   9        0         0
#> 191   24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 120.2 24.00      0  68        0         1
#> 17.1  24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 82    24.00      0  34        0         0
#> 72.2  24.00      0  40        0         1
#> 165   24.00      0  47        0         0
#> 75.1  24.00      0  21        1         0
#> 46.1  24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 120.3 24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 2.1   24.00      0   9        0         0
#> 116   24.00      0  58        0         1
#> 151   24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 176   24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 141.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.383          NA        NA      NA
#> 2 age, Cure model          0.00907        NA        NA      NA
#> 3 grade_ii, Cure model    -0.151          NA        NA      NA
#> 4 grade_iii, Cure model    0.590          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00454        NA        NA      NA
#> 2 grade_ii, Survival model   0.396          NA        NA      NA
#> 3 grade_iii, Survival model  0.190          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.383478          0.009068         -0.151011          0.590409  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 261 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.383477644      0.009068203     -0.151010742      0.590409392 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004535393      0.395634662      0.189763923 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.409369909 0.352996393 0.153747161 0.325625106 0.923868093 0.381191922
#>   [7] 0.209101861 0.569639218 0.674581574 0.325625106 0.837949995 0.099400580
#>  [13] 0.081431333 0.081431333 0.390664969 0.025382521 0.722404679 0.876191227
#>  [19] 0.162892999 0.760924210 0.847565573 0.428317156 0.025382521 0.271716251
#>  [25] 0.971427523 0.004242676 0.541370219 0.108762915 0.942858397 0.809113543
#>  [31] 0.053372826 0.437701407 0.371763865 0.456394347 0.289588703 0.437701407
#>  [37] 0.199597444 0.741660873 0.209101861 0.053372826 0.789814967 0.693682673
#>  [43] 0.013919375 0.209101861 0.617326290 0.693682673 0.847565573 0.503499349
#>  [49] 0.741660873 0.990439762 0.025382521 0.181045871 0.235796980 0.876191227
#>  [55] 0.799476868 0.289588703 0.923868093 0.904681049 0.531854580 0.512998316
#>  [61] 0.181045871 0.493999702 0.235796980 0.108762915 0.770635300 0.289588703
#>  [67] 0.722404679 0.693682673 0.271716251 0.971427523 0.418869120 0.876191227
#>  [73] 0.541370219 0.655583774 0.674581574 0.325625106 0.914268336 0.126756878
#>  [79] 0.362368008 0.828337943 0.025382521 0.617326290 0.942858397 0.541370219
#>  [85] 0.484509852 0.636481208 0.071506864 0.316423203 0.569639218 0.162892999
#>  [91] 0.866604010 0.598267286 0.235796980 0.961890049 0.598267286 0.588670528
#>  [97] 0.465824004 0.262487699 0.770635300 0.636481208 0.136197747 0.512998316
#> [103] 0.136197747 0.655583774 0.818709473 0.390664969 0.465824004 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>    51   170    15   105   149    88   153     5   157 105.1    42    69   129 
#> 18.23 19.54 22.68 19.75  8.37 18.37 21.33 16.43 15.10 19.75 12.43 23.23 23.41 
#> 129.1   108    86    96    52   169    81    49    40  86.1   190    91    24 
#> 23.41 18.29 23.81 14.54 10.42 22.41 14.06 12.19 18.00 23.81 20.81  5.33 23.89 
#>    85    92    77   154   168   184     8   117    68 184.1   136    57 153.1 
#> 16.44 22.92  7.27 12.63 23.72 17.77 18.43 17.46 20.62 17.77 21.83 14.46 21.33 
#> 168.1   155   133    78 153.2     6 133.1  49.1   171  57.1   127  86.2    66 
#> 23.72 13.08 14.65 23.88 21.33 15.64 14.65 12.19 16.57 14.46  3.53 23.81 22.13 
#>    36  52.1   123  68.1 149.1   145   181   130  66.1    45    99  92.1    60 
#> 21.19 10.42 13.00 20.62  8.37 10.07 16.46 16.47 22.13 17.42 21.19 22.92 13.15 
#>  68.2  96.1 133.2 190.1  91.1    41  52.2  85.1    18 157.1 105.2    16   113 
#> 20.62 14.54 14.65 20.81  5.33 18.02 10.42 16.44 15.21 15.10 19.75  8.71 22.86 
#>    97    37  86.3   6.1  77.1  85.2    30    29   164   128   5.1 169.1    10 
#> 19.14 12.52 23.81 15.64  7.27 16.44 17.43 15.45 23.60 20.35 16.43 22.41 10.53 
#>    26  99.1    25  26.1   188   111    90  60.1  29.1    63 130.1  63.1  18.1 
#> 15.77 21.19  6.32 15.77 16.16 17.45 20.94 13.15 15.45 22.77 16.47 22.77 15.21 
#>   177 108.1 111.1   193   142   119    53    72   172 119.1   109   118 193.1 
#> 12.53 18.29 17.45 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163   147 142.1   152     7   126    28  53.1 142.2    46   156 118.1 126.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   141     9   9.1 172.1    12   131    84    17   186   148   174   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   196   178 156.1    95  28.1     3   120    31 178.1 120.1  53.2   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75 147.1    67   135  72.1 200.1    11 135.1    71    44   146   103    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.2     2   191    35    94 120.2  17.1   121  34.1    82  72.2   165  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  46.1   182 120.3    83   2.1   116   151   104    74   176    21 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[33]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0195820                 0.4579794                 0.3229982 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.305332003             0.003965913             0.052861600 
#>   grade_iii, Cure model 
#>             1.110022900 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 107   11.18      1  54        1         0
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 136   21.83      1  43        0         1
#> 14    12.89      1  21        0         0
#> 70     7.38      1  30        1         0
#> 42    12.43      1  49        0         1
#> 70.1   7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 56    12.21      1  60        0         0
#> 43    12.10      1  61        0         1
#> 106   16.67      1  49        1         0
#> 168.1 23.72      1  70        0         0
#> 189   10.51      1  NA        1         0
#> 192   16.44      1  31        1         0
#> 128   20.35      1  35        0         1
#> 50    10.02      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 171   16.57      1  41        0         1
#> 111   17.45      1  47        0         1
#> 60    13.15      1  38        1         0
#> 8     18.43      1  32        0         0
#> 63    22.77      1  31        1         0
#> 29    15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 6     15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 127    3.53      1  62        0         1
#> 108   18.29      1  39        0         1
#> 106.1 16.67      1  49        1         0
#> 136.1 21.83      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 88    18.37      1  47        0         0
#> 134   17.81      1  47        1         0
#> 18    15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 177   12.53      1  75        0         0
#> 16     8.71      1  71        0         1
#> 128.1 20.35      1  35        0         1
#> 43.1  12.10      1  61        0         1
#> 105   19.75      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 14.2  12.89      1  21        0         0
#> 139   21.49      1  63        1         0
#> 93    10.33      1  52        0         1
#> 6.1   15.64      1  39        0         0
#> 85    16.44      1  36        0         0
#> 192.1 16.44      1  31        1         0
#> 6.2   15.64      1  39        0         0
#> 26    15.77      1  49        0         1
#> 15    22.68      1  48        0         0
#> 195   11.76      1  NA        1         0
#> 60.1  13.15      1  38        1         0
#> 57    14.46      1  45        0         1
#> 194   22.40      1  38        0         1
#> 195.1 11.76      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 42.1  12.43      1  49        0         1
#> 167   15.55      1  56        1         0
#> 133.2 14.65      1  57        0         0
#> 192.2 16.44      1  31        1         0
#> 128.2 20.35      1  35        0         1
#> 40    18.00      1  28        1         0
#> 43.2  12.10      1  61        0         1
#> 123   13.00      1  44        1         0
#> 158   20.14      1  74        1         0
#> 81    14.06      1  34        0         0
#> 117   17.46      1  26        0         1
#> 184.1 17.77      1  38        0         0
#> 29.1  15.45      1  68        1         0
#> 170   19.54      1  43        0         1
#> 169   22.41      1  46        0         0
#> 101    9.97      1  10        0         1
#> 169.1 22.41      1  46        0         0
#> 14.3  12.89      1  21        0         0
#> 175   21.91      1  43        0         0
#> 127.1  3.53      1  62        0         1
#> 39    15.59      1  37        0         1
#> 86    23.81      1  58        0         1
#> 42.2  12.43      1  49        0         1
#> 164.1 23.60      1  76        0         1
#> 16.1   8.71      1  71        0         1
#> 86.1  23.81      1  58        0         1
#> 168.2 23.72      1  70        0         0
#> 100   16.07      1  60        0         0
#> 50.1  10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 25     6.32      1  34        1         0
#> 106.2 16.67      1  49        1         0
#> 153   21.33      1  55        1         0
#> 175.1 21.91      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 70.2   7.38      1  30        1         0
#> 61    10.12      1  36        0         1
#> 108.1 18.29      1  39        0         1
#> 124    9.73      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 51    18.23      1  83        0         1
#> 41    18.02      1  40        1         0
#> 197   21.60      1  69        1         0
#> 4     17.64      1  NA        0         1
#> 168.3 23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 106.3 16.67      1  49        1         0
#> 52    10.42      1  52        0         1
#> 68    20.62      1  44        0         0
#> 137   24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 11    24.00      0  42        0         1
#> 143   24.00      0  51        0         0
#> 200   24.00      0  64        0         0
#> 193   24.00      0  45        0         1
#> 64    24.00      0  43        0         0
#> 2     24.00      0   9        0         0
#> 104   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 22    24.00      0  52        1         0
#> 19    24.00      0  57        0         1
#> 162   24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 20    24.00      0  46        1         0
#> 80    24.00      0  41        0         0
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 160   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 35.1  24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 17.1  24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 135   24.00      0  58        1         0
#> 21    24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 126   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 121   24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 160.1 24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 132   24.00      0  55        0         0
#> 46    24.00      0  71        0         0
#> 94.1  24.00      0  51        0         1
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 122   24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 11.1  24.00      0  42        0         1
#> 21.1  24.00      0  47        0         0
#> 143.1 24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 87    24.00      0  27        0         0
#> 196   24.00      0  19        0         0
#> 142   24.00      0  53        0         0
#> 165.1 24.00      0  47        0         0
#> 146.1 24.00      0  63        1         0
#> 182   24.00      0  35        0         0
#> 12.1  24.00      0  63        0         0
#> 143.2 24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 156   24.00      0  50        1         0
#> 193.1 24.00      0  45        0         1
#> 118.1 24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 73    24.00      0  NA        0         1
#> 98    24.00      0  34        1         0
#> 160.2 24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 75    24.00      0  21        1         0
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 142.1 24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 182.1 24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 151.1 24.00      0  42        0         0
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 196.1 24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 103.1 24.00      0  56        1         0
#> 178.1 24.00      0  52        1         0
#> 161.1 24.00      0  45        0         0
#> 34.2  24.00      0  36        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.305          NA        NA      NA
#> 2 age, Cure model          0.00397        NA        NA      NA
#> 3 grade_ii, Cure model     0.0529         NA        NA      NA
#> 4 grade_iii, Cure model    1.11           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0196        NA        NA      NA
#> 2 grade_ii, Survival model    0.458         NA        NA      NA
#> 3 grade_iii, Survival model   0.323         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.305332          0.003966          0.052862          1.110023  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 252.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.305332003      0.003965913      0.052861600      1.110022900 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0195820        0.4579794        0.3229982 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 7.460713e-01 2.948856e-03 1.962651e-02 4.489047e-01 2.979280e-02
#>   [6] 5.692614e-01 8.960459e-01 6.395328e-01 8.960459e-01 1.785538e-01
#>  [11] 1.540355e-05 5.484821e-04 6.838991e-01 6.992543e-01 2.325800e-01
#>  [16] 5.484821e-04 2.915052e-01 6.155022e-02 2.230310e-01 2.708235e-01
#>  [21] 2.046913e-01 5.143720e-01 1.089223e-01 7.602255e-03 4.120430e-01
#>  [26] 5.741299e-03 3.543503e-01 2.137588e-01 9.646842e-01 1.304311e-01
#>  [31] 2.325800e-01 2.979280e-02 4.489047e-01 1.229436e-01 1.701488e-01
#>  [36] 4.364078e-01 5.414453e-01 5.131667e-02 6.248789e-01 8.618221e-01
#>  [41] 6.155022e-02 6.992543e-01 8.907823e-02 5.692614e-01 5.692614e-01
#>  [46] 4.186118e-02 7.948747e-01 3.543503e-01 2.915052e-01 2.915052e-01
#>  [51] 3.543503e-01 3.432372e-01 9.530730e-03 5.143720e-01 4.874682e-01
#>  [56] 1.673857e-02 7.621703e-01 6.395328e-01 4.000931e-01 4.489047e-01
#>  [61] 2.915052e-01 6.155022e-02 1.618947e-01 6.992543e-01 5.552955e-01
#>  [66] 8.296438e-02 5.008323e-01 1.958009e-01 1.785538e-01 4.120430e-01
#>  [71] 9.549659e-02 1.173119e-02 8.449802e-01 1.173119e-02 5.692614e-01
#>  [76] 2.281806e-02 9.646842e-01 3.883093e-01 1.263655e-04 6.395328e-01
#>  [81] 2.948856e-03 8.618221e-01 1.263655e-04 5.484821e-04 3.322910e-01
#>  [86] 1.020946e-01 9.472418e-01 2.325800e-01 4.647789e-02 2.281806e-02
#>  [91] 7.948747e-01 1.089223e-01 8.960459e-01 8.280926e-01 1.304311e-01
#>  [96] 7.712137e-02 1.455795e-01 1.536770e-01 3.750398e-02 5.484821e-04
#> [101] 2.810830e-01 2.325800e-01 7.784365e-01 5.629918e-02 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00
#> 
#> $Time
#>   107   164    66   133   136    14    70    42  70.1   184    24   168    56 
#> 11.18 23.60 22.13 14.65 21.83 12.89  7.38 12.43  7.38 17.77 23.89 23.72 12.21 
#>    43   106 168.1   192   128    23   171   111    60     8    63    29   129 
#> 12.10 16.67 23.72 16.44 20.35 16.92 16.57 17.45 13.15 18.43 22.77 15.45 23.41 
#>     6    45   127   108 106.1 136.1 133.1    88   134    18   155   190   177 
#> 15.64 17.42  3.53 18.29 16.67 21.83 14.65 18.37 17.81 15.21 13.08 20.81 12.53 
#>    16 128.1  43.1   105  14.1  14.2   139    93   6.1    85 192.1   6.2    26 
#>  8.71 20.35 12.10 19.75 12.89 12.89 21.49 10.33 15.64 16.44 16.44 15.64 15.77 
#>    15  60.1    57   194    10  42.1   167 133.2 192.2 128.2    40  43.2   123 
#> 22.68 13.15 14.46 22.40 10.53 12.43 15.55 14.65 16.44 20.35 18.00 12.10 13.00 
#>   158    81   117 184.1  29.1   170   169   101 169.1  14.3   175 127.1    39 
#> 20.14 14.06 17.46 17.77 15.45 19.54 22.41  9.97 22.41 12.89 21.91  3.53 15.59 
#>    86  42.2 164.1  16.1  86.1 168.2   100    76    25 106.2   153 175.1  93.1 
#> 23.81 12.43 23.60  8.71 23.81 23.72 16.07 19.22  6.32 16.67 21.33 21.91 10.33 
#>   8.1  70.2    61 108.1   150    51    41   197 168.3   181 106.3    52    68 
#> 18.43  7.38 10.12 18.29 20.33 18.23 18.02 21.60 23.72 16.46 16.67 10.42 20.62 
#>   137    33   119    11   143   200   193    64     2   104    35   2.1    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   162 137.1    20    80   161   165   160   138    94    17    12  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174  17.1    34   135    21   146   126   147   151   121    62    31    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.1   118 174.1   132    46  94.1    74    28   122 132.1  11.1  21.1 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1    87   196   142 165.1 146.1   182  12.1 143.2  80.1   156 193.1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1  19.1    98 160.2   178    75   103    95 142.1  34.1 182.1   172     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1    54    82 196.1    72 103.1 178.1 161.1  34.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[34]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002334653               1.110118494               0.617685523 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.642360279            -0.002490923            -0.417280931 
#>   grade_iii, Cure model 
#>            -0.556901945 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 167   15.55      1  56        1         0
#> 14    12.89      1  21        0         0
#> 145   10.07      1  65        1         0
#> 177   12.53      1  75        0         0
#> 40    18.00      1  28        1         0
#> 181   16.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 52    10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 37    12.52      1  57        1         0
#> 140   12.68      1  59        1         0
#> 179   18.63      1  42        0         0
#> 101    9.97      1  10        0         1
#> 91     5.33      1  61        0         1
#> 58    19.34      1  39        0         0
#> 187    9.92      1  39        1         0
#> 140.1 12.68      1  59        1         0
#> 45    17.42      1  54        0         1
#> 92    22.92      1  47        0         1
#> 107   11.18      1  54        1         0
#> 18    15.21      1  49        1         0
#> 189   10.51      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 42    12.43      1  49        0         1
#> 92.1  22.92      1  47        0         1
#> 61    10.12      1  36        0         1
#> 89    11.44      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 26    15.77      1  49        0         1
#> 129   23.41      1  53        1         0
#> 155   13.08      1  26        0         0
#> 69    23.23      1  25        0         1
#> 145.1 10.07      1  65        1         0
#> 168   23.72      1  70        0         0
#> 117   17.46      1  26        0         1
#> 155.1 13.08      1  26        0         0
#> 99    21.19      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 13    14.34      1  54        0         1
#> 175   21.91      1  43        0         0
#> 123   13.00      1  44        1         0
#> 188   16.16      1  46        0         1
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 166   19.98      1  48        0         0
#> 96    14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 168.1 23.72      1  70        0         0
#> 114   13.68      1  NA        0         0
#> 189.1 10.51      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 58.1  19.34      1  39        0         0
#> 168.2 23.72      1  70        0         0
#> 66    22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 36    21.19      1  48        0         1
#> 85    16.44      1  36        0         0
#> 171   16.57      1  41        0         1
#> 29    15.45      1  68        1         0
#> 188.1 16.16      1  46        0         1
#> 90    20.94      1  50        0         1
#> 78    23.88      1  43        0         0
#> 123.1 13.00      1  44        1         0
#> 5.1   16.43      1  51        0         1
#> 99.1  21.19      1  38        0         1
#> 99.2  21.19      1  38        0         1
#> 24    23.89      1  38        0         0
#> 24.1  23.89      1  38        0         0
#> 129.1 23.41      1  53        1         0
#> 76    19.22      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 181.1 16.46      1  45        0         1
#> 106   16.67      1  49        1         0
#> 85.1  16.44      1  36        0         0
#> 88    18.37      1  47        0         0
#> 154   12.63      1  20        1         0
#> 96.1  14.54      1  33        0         1
#> 167.1 15.55      1  56        1         0
#> 86    23.81      1  58        0         1
#> 153   21.33      1  55        1         0
#> 190   20.81      1  42        1         0
#> 37.1  12.52      1  57        1         0
#> 14.1  12.89      1  21        0         0
#> 13.1  14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 60    13.15      1  38        1         0
#> 175.1 21.91      1  43        0         0
#> 114.1 13.68      1  NA        0         0
#> 24.2  23.89      1  38        0         0
#> 180   14.82      1  37        0         0
#> 175.2 21.91      1  43        0         0
#> 150   20.33      1  48        0         0
#> 184.1 17.77      1  38        0         0
#> 195   11.76      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 58.2  19.34      1  39        0         0
#> 184.2 17.77      1  38        0         0
#> 14.2  12.89      1  21        0         0
#> 60.1  13.15      1  38        1         0
#> 78.1  23.88      1  43        0         0
#> 180.1 14.82      1  37        0         0
#> 180.2 14.82      1  37        0         0
#> 30    17.43      1  78        0         0
#> 24.3  23.89      1  38        0         0
#> 133   14.65      1  57        0         0
#> 42.1  12.43      1  49        0         1
#> 100   16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 107.2 11.18      1  54        1         0
#> 177.1 12.53      1  75        0         0
#> 19    24.00      0  57        0         1
#> 84    24.00      0  39        0         1
#> 141   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 94    24.00      0  51        0         1
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 137   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 94.1  24.00      0  51        0         1
#> 185   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 47.1  24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 116   24.00      0  58        0         1
#> 44    24.00      0  56        0         0
#> 53.1  24.00      0  32        0         1
#> 196   24.00      0  19        0         0
#> 132   24.00      0  55        0         0
#> 104   24.00      0  50        1         0
#> 11    24.00      0  42        0         1
#> 115   24.00      0  NA        1         0
#> 74    24.00      0  43        0         1
#> 53.2  24.00      0  32        0         1
#> 137.1 24.00      0  45        1         0
#> 53.3  24.00      0  32        0         1
#> 151   24.00      0  42        0         0
#> 148   24.00      0  61        1         0
#> 186   24.00      0  45        1         0
#> 163.1 24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 161   24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 200.1 24.00      0  64        0         0
#> 152   24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 141.1 24.00      0  44        1         0
#> 191   24.00      0  60        0         1
#> 3     24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 131   24.00      0  66        0         0
#> 185.1 24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 11.1  24.00      0  42        0         1
#> 116.1 24.00      0  58        0         1
#> 174.1 24.00      0  49        1         0
#> 74.1  24.00      0  43        0         1
#> 104.1 24.00      0  50        1         0
#> 47.2  24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 72    24.00      0  40        0         1
#> 185.2 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 176.1 24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 1     24.00      0  23        1         0
#> 132.2 24.00      0  55        0         0
#> 144   24.00      0  28        0         1
#> 84.1  24.00      0  39        0         1
#> 118   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 120.1 24.00      0  68        0         1
#> 146   24.00      0  63        1         0
#> 116.2 24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 31    24.00      0  36        0         1
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 152.1 24.00      0  36        0         1
#> 143   24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 142.1 24.00      0  53        0         0
#> 94.2  24.00      0  51        0         1
#> 83    24.00      0   6        0         0
#> 35    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 72.1  24.00      0  40        0         1
#> 118.1 24.00      0  44        1         0
#> 174.2 24.00      0  49        1         0
#> 75    24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 20    24.00      0  46        1         0
#> 47.3  24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 95.1  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.642          NA        NA      NA
#> 2 age, Cure model         -0.00249        NA        NA      NA
#> 3 grade_ii, Cure model    -0.417          NA        NA      NA
#> 4 grade_iii, Cure model   -0.557          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00233        NA        NA      NA
#> 2 grade_ii, Survival model   1.11           NA        NA      NA
#> 3 grade_iii, Survival model  0.618          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.642360         -0.002491         -0.417281         -0.556902  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 259 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.642360279     -0.002490923     -0.417280931     -0.556901945 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002334653      1.110118494      0.617685523 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.67360370 0.81635768 0.94726472 0.85766744 0.49127989 0.57721515
#>   [7] 0.61298925 0.92876810 0.66515156 0.87113446 0.83728755 0.46100224
#>  [13] 0.95929315 0.99429189 0.42103864 0.96529568 0.83728755 0.54915222
#>  [19] 0.24027302 0.91016044 0.70528465 0.91016044 0.88426522 0.24027302
#>  [25] 0.93498568 0.50102280 0.65652455 0.19809317 0.78792739 0.22634763
#>  [31] 0.94726472 0.14510126 0.52982713 0.78792739 0.33880278 0.93498568
#>  [37] 0.75859657 0.29046646 0.80236138 0.63056610 0.98856378 0.47107708
#>  [43] 0.41088764 0.74349571 0.89726967 0.89726967 0.14510126 0.42103864
#>  [49] 0.14510126 0.27792343 0.97700636 0.33880278 0.59508051 0.56802020
#>  [55] 0.68973313 0.63056610 0.38008963 0.08741785 0.80236138 0.61298925
#>  [61] 0.33880278 0.33880278 0.02930999 0.02930999 0.19809317 0.45094792
#>  [67] 0.96529568 0.57721515 0.55872211 0.59508051 0.48116746 0.85092437
#>  [73] 0.74349571 0.67360370 0.12601124 0.32693137 0.39066574 0.87113446
#>  [79] 0.81635768 0.75859657 0.98281615 0.77350895 0.29046646 0.02930999
#>  [85] 0.71295856 0.29046646 0.40076316 0.50102280 0.68973313 0.42103864
#>  [91] 0.50102280 0.81635768 0.77350895 0.08741785 0.71295856 0.71295856
#>  [97] 0.53947527 0.02930999 0.73579380 0.88426522 0.64782273 0.26544603
#> [103] 0.91016044 0.85766744 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   167    14   145   177    40   181     5    52   125    37   140   179   101 
#> 15.55 12.89 10.07 12.53 18.00 16.46 16.43 10.42 15.65 12.52 12.68 18.63  9.97 
#>    91    58   187 140.1    45    92   107    18 107.1    42  92.1    61   184 
#>  5.33 19.34  9.92 12.68 17.42 22.92 11.18 15.21 11.18 12.43 22.92 10.12 17.77 
#>    26   129   155    69 145.1   168   117 155.1    99  61.1    13   175   123 
#> 15.77 23.41 13.08 23.23 10.07 23.72 17.46 13.08 21.19 10.12 14.34 21.91 13.00 
#>   188    77     8   166    96    43  43.1 168.1  58.1 168.2    66   149    36 
#> 16.16  7.27 18.43 19.98 14.54 12.10 12.10 23.72 19.34 23.72 22.13  8.37 21.19 
#>    85   171    29 188.1    90    78 123.1   5.1  99.1  99.2    24  24.1 129.1 
#> 16.44 16.57 15.45 16.16 20.94 23.88 13.00 16.43 21.19 21.19 23.89 23.89 23.41 
#>    76 187.1 181.1   106  85.1    88   154  96.1 167.1    86   153   190  37.1 
#> 19.22  9.92 16.46 16.67 16.44 18.37 12.63 14.54 15.55 23.81 21.33 20.81 12.52 
#>  14.1  13.1    70    60 175.1  24.2   180 175.2   150 184.1  29.1  58.2 184.2 
#> 12.89 14.34  7.38 13.15 21.91 23.89 14.82 21.91 20.33 17.77 15.45 19.34 17.77 
#>  14.2  60.1  78.1 180.1 180.2    30  24.3   133  42.1   100   194 107.2 177.1 
#> 12.89 13.15 23.88 14.82 14.82 17.43 23.89 14.65 12.43 16.07 22.40 11.18 12.53 
#>    19    84   141    47    94    95    53   137   163  94.1   185   160  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54   116    44  53.1   196   132   104    11    74  53.2 137.1  53.3   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   186 163.1   200   174   161 186.1 200.1   152   142 141.1   191     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147   131 185.1 132.1   120  11.1 116.1 174.1  74.1 104.1  47.2   176   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72 185.2    80 176.1    67     1 132.2   144  84.1   118   182 120.1   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.2    12    31   112   103 152.1   143  31.1 142.1  94.2    83    35   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 118.1 174.2    75    87    20  47.3  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[35]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004676042               0.512377052               0.424486723 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.96975241              0.01361835              0.23788035 
#>   grade_iii, Cure model 
#>              1.28499220 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 159   10.55      1  50        0         1
#> 15    22.68      1  48        0         0
#> 51    18.23      1  83        0         1
#> 164   23.60      1  76        0         1
#> 159.1 10.55      1  50        0         1
#> 16     8.71      1  71        0         1
#> 55    19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 183    9.24      1  67        1         0
#> 63    22.77      1  31        1         0
#> 136   21.83      1  43        0         1
#> 167   15.55      1  56        1         0
#> 23    16.92      1  61        0         0
#> 43    12.10      1  61        0         1
#> 189   10.51      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 29    15.45      1  68        1         0
#> 189.1 10.51      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 97    19.14      1  65        0         1
#> 52    10.42      1  52        0         1
#> 158   20.14      1  74        1         0
#> 167.1 15.55      1  56        1         0
#> 43.1  12.10      1  61        0         1
#> 155   13.08      1  26        0         0
#> 93    10.33      1  52        0         1
#> 114.1 13.68      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 70     7.38      1  30        1         0
#> 194   22.40      1  38        0         1
#> 56    12.21      1  60        0         0
#> 159.2 10.55      1  50        0         1
#> 134   17.81      1  47        1         0
#> 197   21.60      1  69        1         0
#> 50    10.02      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 150   20.33      1  48        0         0
#> 127    3.53      1  62        0         1
#> 16.1   8.71      1  71        0         1
#> 14    12.89      1  21        0         0
#> 45    17.42      1  54        0         1
#> 78    23.88      1  43        0         0
#> 158.1 20.14      1  74        1         0
#> 23.1  16.92      1  61        0         0
#> 153   21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 166.1 19.98      1  48        0         0
#> 159.3 10.55      1  50        0         1
#> 164.1 23.60      1  76        0         1
#> 14.1  12.89      1  21        0         0
#> 5     16.43      1  51        0         1
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 29.1  15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 140   12.68      1  59        1         0
#> 69.1  23.23      1  25        0         1
#> 129   23.41      1  53        1         0
#> 56.1  12.21      1  60        0         0
#> 91     5.33      1  61        0         1
#> 6.1   15.64      1  39        0         0
#> 195   11.76      1  NA        1         0
#> 154   12.63      1  20        1         0
#> 130   16.47      1  53        0         1
#> 6.2   15.64      1  39        0         0
#> 197.1 21.60      1  69        1         0
#> 78.1  23.88      1  43        0         0
#> 18    15.21      1  49        1         0
#> 52.1  10.42      1  52        0         1
#> 69.2  23.23      1  25        0         1
#> 166.2 19.98      1  48        0         0
#> 105   19.75      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 70.1   7.38      1  30        1         0
#> 166.3 19.98      1  48        0         0
#> 91.1   5.33      1  61        0         1
#> 63.1  22.77      1  31        1         0
#> 197.2 21.60      1  69        1         0
#> 101    9.97      1  10        0         1
#> 23.2  16.92      1  61        0         0
#> 194.1 22.40      1  38        0         1
#> 123   13.00      1  44        1         0
#> 14.2  12.89      1  21        0         0
#> 136.1 21.83      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 97.2  19.14      1  65        0         1
#> 188   16.16      1  46        0         1
#> 114.2 13.68      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 55.2  19.34      1  69        0         1
#> 190   20.81      1  42        1         0
#> 50.1  10.02      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 199   19.81      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 36    21.19      1  48        0         1
#> 183.1  9.24      1  67        1         0
#> 61    10.12      1  36        0         1
#> 183.2  9.24      1  67        1         0
#> 145.2 10.07      1  65        1         0
#> 24    23.89      1  38        0         0
#> 60    13.15      1  38        1         0
#> 26    15.77      1  49        0         1
#> 145.3 10.07      1  65        1         0
#> 39.1  15.59      1  37        0         1
#> 166.4 19.98      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 114.3 13.68      1  NA        0         0
#> 174   24.00      0  49        1         0
#> 138   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 142   24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 22    24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 141   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 47    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 27    24.00      0  63        1         0
#> 1     24.00      0  23        1         0
#> 161.1 24.00      0  45        0         0
#> 103   24.00      0  56        1         0
#> 19    24.00      0  57        0         1
#> 135   24.00      0  58        1         0
#> 112   24.00      0  61        0         0
#> 182   24.00      0  35        0         0
#> 27.1  24.00      0  63        1         0
#> 12    24.00      0  63        0         0
#> 67    24.00      0  25        0         0
#> 74    24.00      0  43        0         1
#> 174.1 24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 138.1 24.00      0  44        1         0
#> 80.1  24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 20    24.00      0  46        1         0
#> 87    24.00      0  27        0         0
#> 20.1  24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 22.1  24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 67.1  24.00      0  25        0         0
#> 33    24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 142.1 24.00      0  53        0         0
#> 182.1 24.00      0  35        0         0
#> 112.1 24.00      0  61        0         0
#> 173   24.00      0  19        0         1
#> 84.1  24.00      0  39        0         1
#> 120   24.00      0  68        0         1
#> 144   24.00      0  28        0         1
#> 148   24.00      0  61        1         0
#> 33.1  24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 185   24.00      0  44        1         0
#> 135.1 24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 121.1 24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 71    24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 143   24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 67.2  24.00      0  25        0         0
#> 74.1  24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 33.2  24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 126.1 24.00      0  48        0         0
#> 115.2 24.00      0  NA        1         0
#> 11    24.00      0  42        0         1
#> 38    24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 44.1  24.00      0  56        0         0
#> 116.1 24.00      0  58        0         1
#> 163   24.00      0  66        0         0
#> 19.1  24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 75    24.00      0  21        1         0
#> 65    24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 33.3  24.00      0  53        0         0
#> 193   24.00      0  45        0         1
#> 3     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 173.1 24.00      0  19        0         1
#> 122.1 24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.970         NA        NA      NA
#> 2 age, Cure model           0.0136        NA        NA      NA
#> 3 grade_ii, Cure model      0.238         NA        NA      NA
#> 4 grade_iii, Cure model     1.28          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00468        NA        NA      NA
#> 2 grade_ii, Survival model   0.512          NA        NA      NA
#> 3 grade_iii, Survival model  0.424          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.96975           0.01362           0.23788           1.28499  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    254.9 
#> Residual Deviance: 240.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.96975241       0.01361835       0.23788035       1.28499220 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004676042      0.512377052      0.424486723 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.86157616 0.31286546 0.60666275 0.17414386 0.86157616 0.95605005
#>   [7] 0.54847770 0.23641068 0.93914235 0.28357950 0.35469659 0.74250874
#>  [13] 0.64642597 0.84892907 0.97824506 0.75644628 0.91024742 0.48487645
#>  [19] 0.54847770 0.58227348 0.88602121 0.46583154 0.74250874 0.84892907
#>  [25] 0.79022278 0.89816897 0.63072509 0.96720617 0.32768945 0.83608423
#>  [31] 0.86157616 0.61476594 0.38002868 0.53931584 0.45563731 0.99459271
#>  [37] 0.95605005 0.80348616 0.63862223 0.11514289 0.46583154 0.64642597
#>  [43] 0.41314401 0.67691003 0.48487645 0.86157616 0.17414386 0.80348616
#>  [49] 0.68445523 0.70664410 0.72825854 0.75644628 0.62275546 0.82308252
#>  [55] 0.23641068 0.21644821 0.83608423 0.98374621 0.70664410 0.82960459
#>  [61] 0.66928583 0.70664410 0.38002868 0.11514289 0.77005925 0.88602121
#>  [67] 0.23641068 0.48487645 0.53001666 0.91024742 0.96720617 0.48487645
#>  [73] 0.98374621 0.28357950 0.38002868 0.93333734 0.64642597 0.32768945
#>  [79] 0.79688346 0.80348616 0.35469659 0.58227348 0.58227348 0.69192301
#>  [85] 0.54847770 0.54847770 0.44538538 0.43488414 0.77683002 0.42414129
#>  [91] 0.93914235 0.90422451 0.93914235 0.91024742 0.04984766 0.78355484
#>  [97] 0.69931929 0.91024742 0.72825854 0.48487645 0.04984766 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   159    15    51   164 159.1    16    55    69   183    63   136   167    23 
#> 10.55 22.68 18.23 23.60 10.55  8.71 19.34 23.23  9.24 22.77 21.83 15.55 16.92 
#>    43    77    29   145   166  55.1    97    52   158 167.1  43.1   155    93 
#> 12.10  7.27 15.45 10.07 19.98 19.34 19.14 10.42 20.14 15.55 12.10 13.08 10.33 
#>   117    70   194    56 159.2   134   197   170   150   127  16.1    14    45 
#> 17.46  7.38 22.40 12.21 10.55 17.81 21.60 19.54 20.33  3.53  8.71 12.89 17.42 
#>    78 158.1  23.1   153   192 166.1 159.3 164.1  14.1     5     6    39  29.1 
#> 23.88 20.14 16.92 21.33 16.44 19.98 10.55 23.60 12.89 16.43 15.64 15.59 15.45 
#>   184   140  69.1   129  56.1    91   6.1   154   130   6.2 197.1  78.1    18 
#> 17.77 12.68 23.23 23.41 12.21  5.33 15.64 12.63 16.47 15.64 21.60 23.88 15.21 
#>  52.1  69.2 166.2   105 145.1  70.1 166.3  91.1  63.1 197.2   101  23.2 194.1 
#> 10.42 23.23 19.98 19.75 10.07  7.38 19.98  5.33 22.77 21.60  9.97 16.92 22.40 
#>   123  14.2 136.1  97.1  97.2   188    58  55.2   190    90    96    36 183.1 
#> 13.00 12.89 21.83 19.14 19.14 16.16 19.34 19.34 20.81 20.94 14.54 21.19  9.24 
#>    61 183.2 145.2    24    60    26 145.3  39.1 166.4  24.1   174   138   142 
#> 10.12  9.24 10.07 23.89 13.15 15.77 10.07 15.59 19.98 23.89 24.00 24.00 24.00 
#>    80    22   161    84   141    53    47   122    27     1 161.1   103    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   112   182  27.1    12    67    74 174.1    54 138.1  80.1     7    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87  20.1   131  22.1   121    82  67.1    33    44   162    72   109 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1 112.1   173  84.1   120   144   148  33.1   137   185 135.1    46 121.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    71   126   143 121.2  67.2  74.1  33.2   178 126.1    11    38 141.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  44.1 116.1   163  19.1    28   151    75    65   118  33.3   193     3    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.1 122.1   200 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[36]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001692444               0.904819253               0.454362278 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.664645448             0.006445945             0.410016750 
#>   grade_iii, Cure model 
#>             1.180214794 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 23    16.92      1  61        0         0
#> 81    14.06      1  34        0         0
#> 97    19.14      1  65        0         1
#> 194   22.40      1  38        0         1
#> 78    23.88      1  43        0         0
#> 68    20.62      1  44        0         0
#> 150   20.33      1  48        0         0
#> 167   15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 15    22.68      1  48        0         0
#> 76    19.22      1  54        0         1
#> 88    18.37      1  47        0         0
#> 166   19.98      1  48        0         0
#> 150.1 20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 6     15.64      1  39        0         0
#> 96    14.54      1  33        0         1
#> 43    12.10      1  61        0         1
#> 41    18.02      1  40        1         0
#> 39    15.59      1  37        0         1
#> 43.1  12.10      1  61        0         1
#> 140   12.68      1  59        1         0
#> 25     6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 114.1 13.68      1  NA        0         0
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 189.1 10.51      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 36    21.19      1  48        0         1
#> 194.1 22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 43.2  12.10      1  61        0         1
#> 199.1 19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 171   16.57      1  41        0         1
#> 40    18.00      1  28        1         0
#> 168   23.72      1  70        0         0
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 189.2 10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 123   13.00      1  44        1         0
#> 114.2 13.68      1  NA        0         0
#> 140.1 12.68      1  59        1         0
#> 153   21.33      1  55        1         0
#> 110   17.56      1  65        0         1
#> 108   18.29      1  39        0         1
#> 154   12.63      1  20        1         0
#> 180   14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 36.1  21.19      1  48        0         1
#> 183    9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 43.3  12.10      1  61        0         1
#> 85    16.44      1  36        0         0
#> 175   21.91      1  43        0         0
#> 40.1  18.00      1  28        1         0
#> 89    11.44      1  NA        0         0
#> 97.1  19.14      1  65        0         1
#> 40.2  18.00      1  28        1         0
#> 32    20.90      1  37        1         0
#> 105   19.75      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 43.4  12.10      1  61        0         1
#> 195.1 11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 69    23.23      1  25        0         1
#> 37    12.52      1  57        1         0
#> 189.3 10.51      1  NA        1         0
#> 15.1  22.68      1  48        0         0
#> 123.1 13.00      1  44        1         0
#> 111.1 17.45      1  47        0         1
#> 110.1 17.56      1  65        0         1
#> 99    21.19      1  38        0         1
#> 23.1  16.92      1  61        0         0
#> 70     7.38      1  30        1         0
#> 66    22.13      1  53        0         0
#> 164   23.60      1  76        0         1
#> 154.1 12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 188   16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 168.1 23.72      1  70        0         0
#> 40.3  18.00      1  28        1         0
#> 56    12.21      1  60        0         0
#> 6.1   15.64      1  39        0         0
#> 157   15.10      1  47        0         0
#> 113   22.86      1  34        0         0
#> 192   16.44      1  31        1         0
#> 88.1  18.37      1  47        0         0
#> 85.1  16.44      1  36        0         0
#> 164.1 23.60      1  76        0         1
#> 97.2  19.14      1  65        0         1
#> 100   16.07      1  60        0         0
#> 39.1  15.59      1  37        0         1
#> 158   20.14      1  74        1         0
#> 77     7.27      1  67        0         1
#> 93    10.33      1  52        0         1
#> 99.1  21.19      1  38        0         1
#> 36.2  21.19      1  48        0         1
#> 110.2 17.56      1  65        0         1
#> 79.1  16.23      1  54        1         0
#> 145   10.07      1  65        1         0
#> 130.1 16.47      1  53        0         1
#> 93.1  10.33      1  52        0         1
#> 194.2 22.40      1  38        0         1
#> 21    24.00      0  47        0         0
#> 35    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 73    24.00      0  NA        0         1
#> 47.1  24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 21.1  24.00      0  47        0         0
#> 87    24.00      0  27        0         0
#> 182   24.00      0  35        0         0
#> 102   24.00      0  49        0         0
#> 7     24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 173   24.00      0  19        0         1
#> 3     24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 73.1  24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 178   24.00      0  52        1         0
#> 1     24.00      0  23        1         0
#> 74.1  24.00      0  43        0         1
#> 163   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 82.1  24.00      0  34        0         0
#> 142   24.00      0  53        0         0
#> 33.1  24.00      0  53        0         0
#> 148.1 24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 38    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 12    24.00      0  63        0         0
#> 196   24.00      0  19        0         0
#> 191.1 24.00      0  60        0         1
#> 46    24.00      0  71        0         0
#> 163.1 24.00      0  66        0         0
#> 28.1  24.00      0  67        1         0
#> 120   24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 1.1   24.00      0  23        1         0
#> 141   24.00      0  44        1         0
#> 200   24.00      0  64        0         0
#> 82.2  24.00      0  34        0         0
#> 35.1  24.00      0  51        0         0
#> 80.1  24.00      0  41        0         0
#> 19    24.00      0  57        0         1
#> 126   24.00      0  48        0         0
#> 115   24.00      0  NA        1         0
#> 19.1  24.00      0  57        0         1
#> 87.1  24.00      0  27        0         0
#> 147   24.00      0  76        1         0
#> 191.2 24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 7.1   24.00      0  37        1         0
#> 112   24.00      0  61        0         0
#> 62.1  24.00      0  71        0         0
#> 147.1 24.00      0  76        1         0
#> 151.1 24.00      0  42        0         0
#> 151.2 24.00      0  42        0         0
#> 9.1   24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 62.2  24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 176   24.00      0  43        0         1
#> 74.2  24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 27.1  24.00      0  63        1         0
#> 72    24.00      0  40        0         1
#> 12.1  24.00      0  63        0         0
#> 94.1  24.00      0  51        0         1
#> 2     24.00      0   9        0         0
#> 11    24.00      0  42        0         1
#> 82.3  24.00      0  34        0         0
#> 20    24.00      0  46        1         0
#> 46.1  24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 7.2   24.00      0  37        1         0
#> 147.2 24.00      0  76        1         0
#> 83    24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 75.1  24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.665          NA        NA      NA
#> 2 age, Cure model          0.00645        NA        NA      NA
#> 3 grade_ii, Cure model     0.410          NA        NA      NA
#> 4 grade_iii, Cure model    1.18           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00169        NA        NA      NA
#> 2 grade_ii, Survival model   0.905          NA        NA      NA
#> 3 grade_iii, Survival model  0.454          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.664645          0.006446          0.410017          1.180215  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 243.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.664645448      0.006445945      0.410016750      1.180214794 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001692444      0.904819253      0.454362278 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.60027665 0.81166700 0.43770265 0.18083659 0.01273125 0.34930863
#>   [7] 0.37191806 0.77307580 0.64371167 0.58270105 0.14737463 0.42687863
#>  [13] 0.47896765 0.40501549 0.37191806 0.61790290 0.74175940 0.79628879
#>  [19] 0.89151590 0.51024211 0.75749520 0.89151590 0.83426378 0.98685929
#>  [25] 0.73386009 0.68539809 0.26823533 0.18083659 0.87737652 0.89151590
#>  [31] 0.96006976 0.62662015 0.52039950 0.03732071 0.33794472 0.80399479
#>  [37] 0.72585684 0.86311855 0.81934326 0.83426378 0.25397201 0.55617655
#>  [43] 0.49981282 0.84886146 0.78854610 0.93268826 0.26823533 0.96684532
#>  [49] 0.36069916 0.89151590 0.66060584 0.23863069 0.52039950 0.43770265
#>  [55] 0.52039950 0.32606064 0.41593318 0.62662015 0.89151590 0.99343873
#>  [61] 0.11258923 0.87028387 0.14737463 0.81934326 0.58270105 0.55617655
#>  [67] 0.26823533 0.60027665 0.97356407 0.22335861 0.07814351 0.84886146
#>  [73] 0.46846454 0.70977926 0.92575923 0.69371868 0.03732071 0.52039950
#>  [79] 0.88444349 0.74175940 0.78080802 0.12991518 0.66060584 0.47896765
#>  [85] 0.66060584 0.07814351 0.43770265 0.71781371 0.75749520 0.39412073
#>  [91] 0.98022084 0.93959458 0.26823533 0.26823533 0.55617655 0.69371868
#>  [97] 0.95326786 0.64371167 0.93959458 0.18083659 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    23    81    97   194    78    68   150   167   130   111    15    76    88 
#> 16.92 14.06 19.14 22.40 23.88 20.62 20.33 15.55 16.47 17.45 22.68 19.22 18.37 
#>   166 150.1   106     6    96    43    41    39  43.1   140    25   125     5 
#> 19.98 20.33 16.67 15.64 14.54 12.10 18.02 15.59 12.10 12.68  6.32 15.65 16.43 
#>    36 194.1    42  43.2   101   171    40   168   190    57    26   177   123 
#> 21.19 22.40 12.43 12.10  9.97 16.57 18.00 23.72 20.81 14.46 15.77 12.53 13.00 
#> 140.1   153   110   108   154   180    52  36.1   183   128  43.3    85   175 
#> 12.68 21.33 17.56 18.29 12.63 14.82 10.42 21.19  9.24 20.35 12.10 16.44 21.91 
#>  40.1  97.1  40.2    32   105 171.1  43.4   127    69    37  15.1 123.1 111.1 
#> 18.00 19.14 18.00 20.90 19.75 16.57 12.10  3.53 23.23 12.52 22.68 13.00 17.45 
#> 110.1    99  23.1    70    66   164 154.1   179   188   159    79 168.1  40.3 
#> 17.56 21.19 16.92  7.38 22.13 23.60 12.63 18.63 16.16 10.55 16.23 23.72 18.00 
#>    56   6.1   157   113   192  88.1  85.1 164.1  97.2   100  39.1   158    77 
#> 12.21 15.64 15.10 22.86 16.44 18.37 16.44 23.60 19.14 16.07 15.59 20.14  7.27 
#>    93  99.1  36.2 110.2  79.1   145 130.1  93.1 194.2    21    35     9    47 
#> 10.33 21.19 21.19 17.56 16.23 10.07 16.47 10.33 22.40 24.00 24.00 24.00 24.00 
#>  47.1   191  21.1    87   182   102     7    27   173     3    33   165    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   178     1  74.1   163   148    17    82  82.1   142  33.1 148.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38    75    12   196 191.1    46 163.1  28.1   120    80   162 182.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   141   200  82.2  35.1  80.1    19   126  19.1  87.1   147 191.2   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   112  62.1 147.1 151.1 151.2   9.1   152  62.2    94   176  74.2   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.1    72  12.1  94.1     2    11  82.3    20  46.1 120.1   7.2 147.2    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132  75.1   104 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[37]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01228701                0.38950704                0.48309193 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.143370438            -0.005598245             0.407908925 
#>   grade_iii, Cure model 
#>             0.529795870 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 93    10.33      1  52        0         1
#> 97    19.14      1  65        0         1
#> 100   16.07      1  60        0         0
#> 159   10.55      1  50        0         1
#> 179   18.63      1  42        0         0
#> 24    23.89      1  38        0         0
#> 114   13.68      1  NA        0         0
#> 111   17.45      1  47        0         1
#> 179.1 18.63      1  42        0         0
#> 49    12.19      1  48        1         0
#> 192   16.44      1  31        1         0
#> 134   17.81      1  47        1         0
#> 77     7.27      1  67        0         1
#> 100.1 16.07      1  60        0         0
#> 13    14.34      1  54        0         1
#> 166   19.98      1  48        0         0
#> 24.1  23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 134.1 17.81      1  47        1         0
#> 190   20.81      1  42        1         0
#> 15    22.68      1  48        0         0
#> 14    12.89      1  21        0         0
#> 5     16.43      1  51        0         1
#> 166.1 19.98      1  48        0         0
#> 25     6.32      1  34        1         0
#> 39    15.59      1  37        0         1
#> 39.1  15.59      1  37        0         1
#> 130   16.47      1  53        0         1
#> 190.1 20.81      1  42        1         0
#> 149    8.37      1  33        1         0
#> 113   22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 52    10.42      1  52        0         1
#> 114.1 13.68      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 171   16.57      1  41        0         1
#> 59    10.16      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 154   12.63      1  20        1         0
#> 199   19.81      1  NA        0         1
#> 107   11.18      1  54        1         0
#> 85    16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 37    12.52      1  57        1         0
#> 52.1  10.42      1  52        0         1
#> 23    16.92      1  61        0         0
#> 107.1 11.18      1  54        1         0
#> 69    23.23      1  25        0         1
#> 86    23.81      1  58        0         1
#> 99.1  21.19      1  38        0         1
#> 190.2 20.81      1  42        1         0
#> 150.1 20.33      1  48        0         0
#> 184   17.77      1  38        0         0
#> 85.1  16.44      1  36        0         0
#> 39.2  15.59      1  37        0         1
#> 197   21.60      1  69        1         0
#> 150.2 20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 139   21.49      1  63        1         0
#> 63    22.77      1  31        1         0
#> 41    18.02      1  40        1         0
#> 32.1  20.90      1  37        1         0
#> 190.3 20.81      1  42        1         0
#> 154.1 12.63      1  20        1         0
#> 154.2 12.63      1  20        1         0
#> 59.1  10.16      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 100.2 16.07      1  60        0         0
#> 14.1  12.89      1  21        0         0
#> 177   12.53      1  75        0         0
#> 100.3 16.07      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 181   16.46      1  45        0         1
#> 56    12.21      1  60        0         0
#> 93.1  10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 58    19.34      1  39        0         0
#> 125   15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 106   16.67      1  49        1         0
#> 159.1 10.55      1  50        0         1
#> 6     15.64      1  39        0         0
#> 189   10.51      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 5.1   16.43      1  51        0         1
#> 175   21.91      1  43        0         0
#> 97.1  19.14      1  65        0         1
#> 184.1 17.77      1  38        0         0
#> 117   17.46      1  26        0         1
#> 32.2  20.90      1  37        1         0
#> 79    16.23      1  54        1         0
#> 128   20.35      1  35        0         1
#> 187    9.92      1  39        1         0
#> 184.2 17.77      1  38        0         0
#> 105.1 19.75      1  60        0         0
#> 181.1 16.46      1  45        0         1
#> 39.3  15.59      1  37        0         1
#> 23.1  16.92      1  61        0         0
#> 195   11.76      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 42    12.43      1  49        0         1
#> 199.1 19.81      1  NA        0         1
#> 78    23.88      1  43        0         0
#> 58.1  19.34      1  39        0         0
#> 18    15.21      1  49        1         0
#> 150.3 20.33      1  48        0         0
#> 171.2 16.57      1  41        0         1
#> 196   24.00      0  19        0         0
#> 109   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 84    24.00      0  39        0         1
#> 2.1   24.00      0   9        0         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 82    24.00      0  34        0         0
#> 28    24.00      0  67        1         0
#> 165   24.00      0  47        0         0
#> 38    24.00      0  31        1         0
#> 2.2   24.00      0   9        0         0
#> 46    24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 62    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 95    24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 143   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 54    24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 116   24.00      0  58        0         1
#> 178   24.00      0  52        1         0
#> 109.1 24.00      0  48        0         0
#> 173   24.00      0  19        0         1
#> 137   24.00      0  45        1         0
#> 12    24.00      0  63        0         0
#> 141   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 151.1 24.00      0  42        0         0
#> 62.1  24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 143.1 24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 22    24.00      0  52        1         0
#> 144.1 24.00      0  28        0         1
#> 172   24.00      0  41        0         0
#> 142   24.00      0  53        0         0
#> 72.1  24.00      0  40        0         1
#> 200   24.00      0  64        0         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 2.3   24.00      0   9        0         0
#> 131   24.00      0  66        0         0
#> 193   24.00      0  45        0         1
#> 27.1  24.00      0  63        1         0
#> 116.2 24.00      0  58        0         1
#> 191.1 24.00      0  60        0         1
#> 84.1  24.00      0  39        0         1
#> 54.1  24.00      0  53        1         0
#> 185   24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 33    24.00      0  53        0         0
#> 71    24.00      0  51        0         0
#> 118   24.00      0  44        1         0
#> 163.1 24.00      0  66        0         0
#> 151.2 24.00      0  42        0         0
#> 109.2 24.00      0  48        0         0
#> 95.1  24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 156.1 24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 141.1 24.00      0  44        1         0
#> 193.1 24.00      0  45        0         1
#> 44    24.00      0  56        0         0
#> 95.2  24.00      0  68        0         1
#> 44.1  24.00      0  56        0         0
#> 62.2  24.00      0  71        0         0
#> 135.1 24.00      0  58        1         0
#> 22.1  24.00      0  52        1         0
#> 95.3  24.00      0  68        0         1
#> 2.4   24.00      0   9        0         0
#> 112   24.00      0  61        0         0
#> 31    24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 112.1 24.00      0  61        0         0
#> 151.3 24.00      0  42        0         0
#> 73.1  24.00      0  NA        0         1
#> 11    24.00      0  42        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.143          NA        NA      NA
#> 2 age, Cure model         -0.00560        NA        NA      NA
#> 3 grade_ii, Cure model     0.408          NA        NA      NA
#> 4 grade_iii, Cure model    0.530          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0123        NA        NA      NA
#> 2 grade_ii, Survival model    0.390         NA        NA      NA
#> 3 grade_iii, Survival model   0.483         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.143370         -0.005598          0.407909          0.529796  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 256.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.143370438     -0.005598245      0.407908925      0.529795870 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01228701       0.38950704       0.48309193 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.4531796 0.9585497 0.6295394 0.8177440 0.9410011 0.6447686 0.0993430
#>   [8] 0.7092190 0.6447686 0.9273648 0.7783619 0.6671771 0.9838520 0.8177440
#>  [15] 0.8745531 0.5797294 0.0993430 0.4161625 0.6671771 0.4865822 0.3473082
#>  [22] 0.8795016 0.8011025 0.5797294 0.9919583 0.8494848 0.8494848 0.7605423
#>  [29] 0.4865822 0.9755242 0.3060375 0.2838456 0.9498593 0.5709389 0.7421760
#>  [36] 0.5351463 0.8942147 0.9319732 0.7783619 0.9713285 0.5967652 0.9133259
#>  [43] 0.9498593 0.7227082 0.9319732 0.2578148 0.2281891 0.4161625 0.4865822
#>  [50] 0.5351463 0.6814180 0.7783619 0.8494848 0.3846623 0.5351463 0.7160318
#>  [57] 0.7783619 0.4010918 0.3274261 0.6597588 0.4531796 0.4865822 0.8942147
#>  [64] 0.8942147 0.9838520 0.8177440 0.8795016 0.9085577 0.8177440 0.7421760
#>  [71] 0.7666104 0.9227179 0.9585497 0.4161625 0.6132869 0.8389560 0.8893381
#>  [78] 0.7357321 0.9410011 0.8442305 0.9796982 0.8011025 0.3663165 0.6295394
#>  [85] 0.6814180 0.7022803 0.4531796 0.8122312 0.5254289 0.9670799 0.6814180
#>  [92] 0.5967652 0.7666104 0.8494848 0.7227082 0.9959992 0.9180454 0.1859573
#>  [99] 0.6132869 0.8695438 0.5351463 0.7421760 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    32    93    97   100   159   179    24   111 179.1    49   192   134    77 
#> 20.90 10.33 19.14 16.07 10.55 18.63 23.89 17.45 18.63 12.19 16.44 17.81  7.27 
#> 100.1    13   166  24.1    99 134.1   190    15    14     5 166.1    25    39 
#> 16.07 14.34 19.98 23.89 21.19 17.81 20.81 22.68 12.89 16.43 19.98  6.32 15.59 
#>  39.1   130 190.1   149   113    92    52   158   171   150   154   107    85 
#> 15.59 16.47 20.81  8.37 22.86 22.92 10.42 20.14 16.57 20.33 12.63 11.18 16.44 
#>    16   105    37  52.1    23 107.1    69    86  99.1 190.2 150.1   184  85.1 
#>  8.71 19.75 12.52 10.42 16.92 11.18 23.23 23.81 21.19 20.81 20.33 17.77 16.44 
#>  39.2   197 150.2    45 192.1   139    63    41  32.1 190.3 154.1 154.2  77.1 
#> 15.59 21.60 20.33 17.42 16.44 21.49 22.77 18.02 20.90 20.81 12.63 12.63  7.27 
#> 100.2  14.1   177 100.3 171.1   181    56  93.1    36    58   125   140   106 
#> 16.07 12.89 12.53 16.07 16.57 16.46 12.21 10.33 21.19 19.34 15.65 12.68 16.67 
#> 159.1     6    70   5.1   175  97.1 184.1   117  32.2    79   128   187 184.2 
#> 10.55 15.64  7.38 16.43 21.91 19.14 17.77 17.46 20.90 16.23 20.35  9.92 17.77 
#> 105.1 181.1  39.3  23.1   127    42    78  58.1    18 150.3 171.2   196   109 
#> 19.75 16.46 15.59 16.92  3.53 12.43 23.88 19.34 15.21 20.33 16.57 24.00 24.00 
#>     2    84   2.1    72   151   163   148    82    28   165    38   2.2    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   144    62    53    95    83   143   191    17    54   135    94   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 109.1   173   137    12   141   160 116.1 151.1  62.1    67 143.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22 144.1   172   142  72.1   200    65    27   152   2.3   131   193  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.2 191.1  84.1  54.1   185   156    33    71   118 163.1 151.2 109.2  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     7 156.1   147 141.1 193.1    44  95.2  44.1  62.2 135.1  22.1  95.3   2.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    31   174 112.1 151.3    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[38]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              0.0009598553              0.3844219906              0.3513257543 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.12711651              0.00219604             -0.21613550 
#>   grade_iii, Cure model 
#>              1.07697161 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 130   16.47      1  53        0         1
#> 187    9.92      1  39        1         0
#> 70     7.38      1  30        1         0
#> 125   15.65      1  67        1         0
#> 42    12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 43    12.10      1  61        0         1
#> 136   21.83      1  43        0         1
#> 77     7.27      1  67        0         1
#> 130.1 16.47      1  53        0         1
#> 150   20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 113   22.86      1  34        0         0
#> 16     8.71      1  71        0         1
#> 26    15.77      1  49        0         1
#> 177   12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 134   17.81      1  47        1         0
#> 105   19.75      1  60        0         0
#> 51    18.23      1  83        0         1
#> 157   15.10      1  47        0         0
#> 129   23.41      1  53        1         0
#> 159   10.55      1  50        0         1
#> 55    19.34      1  69        0         1
#> 97    19.14      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 85    16.44      1  36        0         0
#> 51.1  18.23      1  83        0         1
#> 168   23.72      1  70        0         0
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 49.1  12.19      1  48        1         0
#> 108.1 18.29      1  39        0         1
#> 195   11.76      1  NA        1         0
#> 16.1   8.71      1  71        0         1
#> 58    19.34      1  39        0         0
#> 110   17.56      1  65        0         1
#> 58.1  19.34      1  39        0         0
#> 61    10.12      1  36        0         1
#> 10    10.53      1  34        0         0
#> 192   16.44      1  31        1         0
#> 68    20.62      1  44        0         0
#> 23    16.92      1  61        0         0
#> 105.1 19.75      1  60        0         0
#> 113.1 22.86      1  34        0         0
#> 63.1  22.77      1  31        1         0
#> 5     16.43      1  51        0         1
#> 14    12.89      1  21        0         0
#> 188.1 16.16      1  46        0         1
#> 57    14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 32    20.90      1  37        1         0
#> 113.2 22.86      1  34        0         0
#> 175   21.91      1  43        0         0
#> 90    20.94      1  50        0         1
#> 26.1  15.77      1  49        0         1
#> 194   22.40      1  38        0         1
#> 42.1  12.43      1  49        0         1
#> 14.1  12.89      1  21        0         0
#> 66    22.13      1  53        0         0
#> 92    22.92      1  47        0         1
#> 108.2 18.29      1  39        0         1
#> 66.1  22.13      1  53        0         0
#> 40    18.00      1  28        1         0
#> 171   16.57      1  41        0         1
#> 139   21.49      1  63        1         0
#> 96    14.54      1  33        0         1
#> 96.1  14.54      1  33        0         1
#> 69    23.23      1  25        0         1
#> 96.2  14.54      1  33        0         1
#> 157.1 15.10      1  47        0         0
#> 128   20.35      1  35        0         1
#> 110.1 17.56      1  65        0         1
#> 25     6.32      1  34        1         0
#> 92.1  22.92      1  47        0         1
#> 30    17.43      1  78        0         0
#> 101    9.97      1  10        0         1
#> 114   13.68      1  NA        0         0
#> 184   17.77      1  38        0         0
#> 96.3  14.54      1  33        0         1
#> 158.1 20.14      1  74        1         0
#> 52    10.42      1  52        0         1
#> 8     18.43      1  32        0         0
#> 134.1 17.81      1  47        1         0
#> 175.1 21.91      1  43        0         0
#> 70.1   7.38      1  30        1         0
#> 89    11.44      1  NA        0         0
#> 190   20.81      1  42        1         0
#> 52.1  10.42      1  52        0         1
#> 145   10.07      1  65        1         0
#> 78    23.88      1  43        0         0
#> 136.1 21.83      1  43        0         1
#> 8.1   18.43      1  32        0         0
#> 128.1 20.35      1  35        0         1
#> 99    21.19      1  38        0         1
#> 29    15.45      1  68        1         0
#> 26.2  15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 25.1   6.32      1  34        1         0
#> 10.1  10.53      1  34        0         0
#> 23.1  16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 29.1  15.45      1  68        1         0
#> 85.1  16.44      1  36        0         0
#> 50.1  10.02      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 81.1  14.06      1  34        0         0
#> 169   22.41      1  46        0         0
#> 167   15.55      1  56        1         0
#> 180   14.82      1  37        0         0
#> 160   24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 172   24.00      0  41        0         0
#> 138   24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 116   24.00      0  58        0         1
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 135   24.00      0  58        1         0
#> 115   24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 48    24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 87.1  24.00      0  27        0         0
#> 84    24.00      0  39        0         1
#> 131   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 116.1 24.00      0  58        0         1
#> 17    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 19.1  24.00      0  57        0         1
#> 178   24.00      0  52        1         0
#> 7     24.00      0  37        1         0
#> 75    24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 84.1  24.00      0  39        0         1
#> 71    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 132   24.00      0  55        0         0
#> 148   24.00      0  61        1         0
#> 104.1 24.00      0  50        1         0
#> 103   24.00      0  56        1         0
#> 135.1 24.00      0  58        1         0
#> 147   24.00      0  76        1         0
#> 53    24.00      0  32        0         1
#> 62.1  24.00      0  71        0         0
#> 103.1 24.00      0  56        1         0
#> 146   24.00      0  63        1         0
#> 120   24.00      0  68        0         1
#> 28.1  24.00      0  67        1         0
#> 12    24.00      0  63        0         0
#> 172.1 24.00      0  41        0         0
#> 7.1   24.00      0  37        1         0
#> 146.1 24.00      0  63        1         0
#> 12.1  24.00      0  63        0         0
#> 82    24.00      0  34        0         0
#> 1.1   24.00      0  23        1         0
#> 65    24.00      0  57        1         0
#> 47.1  24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 165   24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 115.1 24.00      0  NA        1         0
#> 138.1 24.00      0  44        1         0
#> 87.2  24.00      0  27        0         0
#> 115.2 24.00      0  NA        1         0
#> 198   24.00      0  66        0         1
#> 115.3 24.00      0  NA        1         0
#> 48.1  24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 172.2 24.00      0  41        0         0
#> 54    24.00      0  53        1         0
#> 38    24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 163   24.00      0  66        0         0
#> 38.1  24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 28.2  24.00      0  67        1         0
#> 142.1 24.00      0  53        0         0
#> 198.1 24.00      0  66        0         1
#> 151   24.00      0  42        0         0
#> 146.2 24.00      0  63        1         0
#> 84.2  24.00      0  39        0         1
#> 67    24.00      0  25        0         0
#> 172.3 24.00      0  41        0         0
#> 9     24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 186   24.00      0  45        1         0
#> 161   24.00      0  45        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.127          NA        NA      NA
#> 2 age, Cure model          0.00220        NA        NA      NA
#> 3 grade_ii, Cure model    -0.216          NA        NA      NA
#> 4 grade_iii, Cure model    1.08           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       0.000960        NA        NA      NA
#> 2 grade_ii, Survival model  0.384           NA        NA      NA
#> 3 grade_iii, Survival model 0.351           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.127117          0.002196         -0.216135          1.076972  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.12711651       0.00219604      -0.21613550       1.07697161 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     0.0009598553     0.3844219906     0.3513257543 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.85715778 0.61679786 0.93701267 0.95824564 0.70550895 0.84234778
#>   [7] 0.66586755 0.87183138 0.26943740 0.97224076 0.61679786 0.38448312
#>  [13] 0.48744000 0.13845430 0.94414516 0.68194328 0.83484510 0.99307942
#>  [19] 0.54043569 0.41324566 0.51406790 0.73666696 0.07959447 0.87916790
#>  [25] 0.43210836 0.45973750 0.63329068 0.51406790 0.06035465 0.39433194
#>  [31] 0.17538714 0.85715778 0.48744000 0.94414516 0.43210836 0.56620483
#>  [37] 0.43210836 0.91544963 0.88647450 0.63329068 0.35489009 0.59156053
#>  [43] 0.41324566 0.13845430 0.17538714 0.65768417 0.81231488 0.66586755
#>  [49] 0.78973215 0.30254946 0.33445599 0.13845430 0.24644396 0.32399073
#>  [55] 0.68194328 0.21144059 0.84234778 0.81231488 0.22336141 0.11238642
#>  [61] 0.48744000 0.22336141 0.53164687 0.60838343 0.29152611 0.75980825
#>  [67] 0.75980825 0.09661821 0.75980825 0.73666696 0.36501459 0.56620483
#>  [73] 0.97923764 0.11238642 0.58307377 0.92985158 0.55757384 0.75980825
#>  [79] 0.39433194 0.90101956 0.46904065 0.54043569 0.24644396 0.95824564
#>  [85] 0.34475313 0.90101956 0.92266643 0.01560603 0.26943740 0.46904065
#>  [91] 0.36501459 0.31335694 0.72124921 0.68194328 0.79728672 0.97923764
#>  [97] 0.88647450 0.59156053 0.82733739 0.72124921 0.63329068 0.04074054
#> [103] 0.79728672 0.19919292 0.71340295 0.75206984 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    49   130   187    70   125    42   188    43   136    77 130.1   150   108 
#> 12.19 16.47  9.92  7.38 15.65 12.43 16.16 12.10 21.83  7.27 16.47 20.33 18.29 
#>   113    16    26   177   127   134   105    51   157   129   159    55    97 
#> 22.86  8.71 15.77 12.53  3.53 17.81 19.75 18.23 15.10 23.41 10.55 19.34 19.14 
#>    85  51.1   168   158    63  49.1 108.1  16.1    58   110  58.1    61    10 
#> 16.44 18.23 23.72 20.14 22.77 12.19 18.29  8.71 19.34 17.56 19.34 10.12 10.53 
#>   192    68    23 105.1 113.1  63.1     5    14 188.1    57   153    32 113.2 
#> 16.44 20.62 16.92 19.75 22.86 22.77 16.43 12.89 16.16 14.46 21.33 20.90 22.86 
#>   175    90  26.1   194  42.1  14.1    66    92 108.2  66.1    40   171   139 
#> 21.91 20.94 15.77 22.40 12.43 12.89 22.13 22.92 18.29 22.13 18.00 16.57 21.49 
#>    96  96.1    69  96.2 157.1   128 110.1    25  92.1    30   101   184  96.3 
#> 14.54 14.54 23.23 14.54 15.10 20.35 17.56  6.32 22.92 17.43  9.97 17.77 14.54 
#> 158.1    52     8 134.1 175.1  70.1   190  52.1   145    78 136.1   8.1 128.1 
#> 20.14 10.42 18.43 17.81 21.91  7.38 20.81 10.42 10.07 23.88 21.83 18.43 20.35 
#>    99    29  26.2    81  25.1  10.1  23.1   140  29.1  85.1    86  81.1   169 
#> 21.19 15.45 15.77 14.06  6.32 10.53 16.92 12.68 15.45 16.44 23.81 14.06 22.41 
#>   167   180   160    19    34    87   172   138    21   116   137    47   135 
#> 15.55 14.82 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   109    74   102    48   196    28    33  87.1    84   131   142 116.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   182  19.1   178     7    75   104 102.1     1  84.1    71    62   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 104.1   103 135.1   147    53  62.1 103.1   146   120  28.1    12 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1 146.1  12.1    82   1.1    65  47.1    83   165    98 138.1  87.2   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1  21.1 172.2    54    38   119   163  38.1 132.1  28.2 142.1 198.1   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 146.2  84.2    67 172.3     9    46   186   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[39]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.007538385               0.656255964               0.549076614 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.671831057             0.007540977             0.179363749 
#>   grade_iii, Cure model 
#>             1.674752967 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 41    18.02      1  40        1         0
#> 184   17.77      1  38        0         0
#> 108   18.29      1  39        0         1
#> 26    15.77      1  49        0         1
#> 181   16.46      1  45        0         1
#> 58    19.34      1  39        0         0
#> 29    15.45      1  68        1         0
#> 51    18.23      1  83        0         1
#> 60    13.15      1  38        1         0
#> 90    20.94      1  50        0         1
#> 101    9.97      1  10        0         1
#> 140   12.68      1  59        1         0
#> 15    22.68      1  48        0         0
#> 171   16.57      1  41        0         1
#> 89    11.44      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 108.1 18.29      1  39        0         1
#> 167   15.55      1  56        1         0
#> 180   14.82      1  37        0         0
#> 41.1  18.02      1  40        1         0
#> 130   16.47      1  53        0         1
#> 197   21.60      1  69        1         0
#> 41.2  18.02      1  40        1         0
#> 61    10.12      1  36        0         1
#> 127    3.53      1  62        0         1
#> 149    8.37      1  33        1         0
#> 117   17.46      1  26        0         1
#> 117.1 17.46      1  26        0         1
#> 140.1 12.68      1  59        1         0
#> 39    15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 81    14.06      1  34        0         0
#> 24    23.89      1  38        0         0
#> 86    23.81      1  58        0         1
#> 117.2 17.46      1  26        0         1
#> 199   19.81      1  NA        0         1
#> 166   19.98      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 177   12.53      1  75        0         0
#> 63    22.77      1  31        1         0
#> 177.1 12.53      1  75        0         0
#> 76    19.22      1  54        0         1
#> 32    20.90      1  37        1         0
#> 10    10.53      1  34        0         0
#> 149.1  8.37      1  33        1         0
#> 26.1  15.77      1  49        0         1
#> 159   10.55      1  50        0         1
#> 91     5.33      1  61        0         1
#> 150   20.33      1  48        0         0
#> 63.1  22.77      1  31        1         0
#> 154   12.63      1  20        1         0
#> 16.1   8.71      1  71        0         1
#> 180.1 14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 110   17.56      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 145   10.07      1  65        1         0
#> 93    10.33      1  52        0         1
#> 166.1 19.98      1  48        0         0
#> 78    23.88      1  43        0         0
#> 199.1 19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 150.1 20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 175   21.91      1  43        0         0
#> 149.2  8.37      1  33        1         0
#> 26.2  15.77      1  49        0         1
#> 61.1  10.12      1  36        0         1
#> 13    14.34      1  54        0         1
#> 166.2 19.98      1  48        0         0
#> 167.1 15.55      1  56        1         0
#> 56.1  12.21      1  60        0         0
#> 100   16.07      1  60        0         0
#> 76.1  19.22      1  54        0         1
#> 149.3  8.37      1  33        1         0
#> 69    23.23      1  25        0         1
#> 170   19.54      1  43        0         1
#> 66    22.13      1  53        0         0
#> 108.2 18.29      1  39        0         1
#> 30    17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 125   15.65      1  67        1         0
#> 90.1  20.94      1  50        0         1
#> 99.1  21.19      1  38        0         1
#> 93.1  10.33      1  52        0         1
#> 175.1 21.91      1  43        0         0
#> 158.1 20.14      1  74        1         0
#> 107   11.18      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 8     18.43      1  32        0         0
#> 76.2  19.22      1  54        0         1
#> 69.1  23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 158.2 20.14      1  74        1         0
#> 189   10.51      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 188   16.16      1  46        0         1
#> 36    21.19      1  48        0         1
#> 168   23.72      1  70        0         0
#> 69.2  23.23      1  25        0         1
#> 125.1 15.65      1  67        1         0
#> 171.1 16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 16.2   8.71      1  71        0         1
#> 107.1 11.18      1  54        1         0
#> 60.1  13.15      1  38        1         0
#> 117.3 17.46      1  26        0         1
#> 15.1  22.68      1  48        0         0
#> 154.1 12.63      1  20        1         0
#> 26.3  15.77      1  49        0         1
#> 133   14.65      1  57        0         0
#> 101.1  9.97      1  10        0         1
#> 104   24.00      0  50        1         0
#> 19    24.00      0  57        0         1
#> 20    24.00      0  46        1         0
#> 182   24.00      0  35        0         0
#> 38    24.00      0  31        1         0
#> 104.1 24.00      0  50        1         0
#> 104.2 24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 74    24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 54    24.00      0  53        1         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 122   24.00      0  66        0         0
#> 7     24.00      0  37        1         0
#> 118   24.00      0  44        1         0
#> 178   24.00      0  52        1         0
#> 143   24.00      0  51        0         0
#> 147   24.00      0  76        1         0
#> 54.1  24.00      0  53        1         0
#> 65    24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 116   24.00      0  58        0         1
#> 98    24.00      0  34        1         0
#> 87    24.00      0  27        0         0
#> 143.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 67    24.00      0  25        0         0
#> 82    24.00      0  34        0         0
#> 186   24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 141   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 122.1 24.00      0  66        0         0
#> 191   24.00      0  60        0         1
#> 144   24.00      0  28        0         1
#> 33    24.00      0  53        0         0
#> 44    24.00      0  56        0         0
#> 46    24.00      0  71        0         0
#> 142.1 24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 161.1 24.00      0  45        0         0
#> 135   24.00      0  58        1         0
#> 132   24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 33.1  24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 84    24.00      0  39        0         1
#> 172   24.00      0  41        0         0
#> 3.1   24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 174.1 24.00      0  49        1         0
#> 71    24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 172.1 24.00      0  41        0         0
#> 28    24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 72    24.00      0  40        0         1
#> 17.1  24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 161.2 24.00      0  45        0         0
#> 186.1 24.00      0  45        1         0
#> 54.2  24.00      0  53        1         0
#> 80.1  24.00      0  41        0         0
#> 119   24.00      0  17        0         0
#> 191.1 24.00      0  60        0         1
#> 34    24.00      0  36        0         0
#> 27    24.00      0  63        1         0
#> 142.2 24.00      0  53        0         0
#> 135.1 24.00      0  58        1         0
#> 54.3  24.00      0  53        1         0
#> 95    24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 121   24.00      0  57        1         0
#> 38.1  24.00      0  31        1         0
#> 119.1 24.00      0  17        0         0
#> 87.2  24.00      0  27        0         0
#> 147.1 24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 27.1  24.00      0  63        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.672          NA        NA      NA
#> 2 age, Cure model          0.00754        NA        NA      NA
#> 3 grade_ii, Cure model     0.179          NA        NA      NA
#> 4 grade_iii, Cure model    1.67           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00754        NA        NA      NA
#> 2 grade_ii, Survival model   0.656          NA        NA      NA
#> 3 grade_iii, Survival model  0.549          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.671831          0.007541          0.179364          1.674753  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 243.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.671831057      0.007540977      0.179363749      1.674752967 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.007538385      0.656255964      0.549076614 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.66315755 0.69077278 0.63339216 0.77877816 0.75481204 0.59337653
#>   [7] 0.82809692 0.65579353 0.85915537 0.48131052 0.95352689 0.86919471
#>  [13] 0.33180268 0.73618622 0.96231358 0.63339216 0.81752986 0.83332321
#>  [19] 0.66315755 0.74864039 0.42267692 0.66315755 0.94014084 0.99588145
#>  [25] 0.97512093 0.70433775 0.70433775 0.86919471 0.81209236 0.44786351
#>  [31] 0.85402678 0.05265294 0.16126102 0.70433775 0.55904433 0.88868436
#>  [37] 0.29949853 0.88868436 0.60188148 0.50237047 0.92182896 0.97512093
#>  [43] 0.77877816 0.91717640 0.99173264 0.51267534 0.29949853 0.87900658
#>  [49] 0.96231358 0.83332321 0.92647467 0.69761549 0.42267692 0.94908782
#>  [55] 0.93108427 0.55904433 0.11156867 0.89828270 0.51267534 0.53273012
#>  [61] 0.39360747 0.97512093 0.77877816 0.94014084 0.84888916 0.55904433
#>  [67] 0.81752986 0.89828270 0.77286270 0.60188148 0.97512093 0.22349252
#>  [73] 0.58482971 0.37835503 0.63339216 0.72978480 0.27974404 0.80115973
#>  [79] 0.48131052 0.44786351 0.93108427 0.39360747 0.53273012 0.90782273
#>  [85] 0.62545949 0.60188148 0.22349252 0.68390752 0.53273012 0.76091231
#>  [91] 0.76692124 0.44786351 0.19409573 0.22349252 0.80115973 0.73618622
#>  [97] 0.36279465 0.96231358 0.90782273 0.85915537 0.70433775 0.33180268
#> [103] 0.87900658 0.77877816 0.84370126 0.95352689 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000
#> 
#> $Time
#>    41   184   108    26   181    58    29    51    60    90   101   140    15 
#> 18.02 17.77 18.29 15.77 16.46 19.34 15.45 18.23 13.15 20.94  9.97 12.68 22.68 
#>   171    16 108.1   167   180  41.1   130   197  41.2    61   127   149   117 
#> 16.57  8.71 18.29 15.55 14.82 18.02 16.47 21.60 18.02 10.12  3.53  8.37 17.46 
#> 117.1 140.1    39    99    81    24    86 117.2   166   177    63 177.1    76 
#> 17.46 12.68 15.59 21.19 14.06 23.89 23.81 17.46 19.98 12.53 22.77 12.53 19.22 
#>    32    10 149.1  26.1   159    91   150  63.1   154  16.1 180.1    52   110 
#> 20.90 10.53  8.37 15.77 10.55  5.33 20.33 22.77 12.63  8.71 14.82 10.42 17.56 
#> 197.1   145    93 166.1    78    56 150.1   158   175 149.2  26.2  61.1    13 
#> 21.60 10.07 10.33 19.98 23.88 12.21 20.33 20.14 21.91  8.37 15.77 10.12 14.34 
#> 166.2 167.1  56.1   100  76.1 149.3    69   170    66 108.2    30   113   125 
#> 19.98 15.55 12.21 16.07 19.22  8.37 23.23 19.54 22.13 18.29 17.43 22.86 15.65 
#>  90.1  99.1  93.1 175.1 158.1   107     8  76.2  69.1   134 158.2    79   188 
#> 20.94 21.19 10.33 21.91 20.14 11.18 18.43 19.22 23.23 17.81 20.14 16.23 16.16 
#>    36   168  69.2 125.1 171.1   169  16.2 107.1  60.1 117.3  15.1 154.1  26.3 
#> 21.19 23.72 23.23 15.65 16.57 22.41  8.71 11.18 13.15 17.46 22.68 12.63 15.77 
#>   133 101.1   104    19    20   182    38 104.1 104.2   185     2    74   142 
#> 14.65  9.97 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    54    11    48   162   122     7   118   178   143   147  54.1    65   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116    98    87 143.1    17    67    82   186  82.1   141   151 122.1   191 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144    33    44    46 142.1   103   161     3 141.1    80   163 161.1   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132   174  33.1   102    84   172   3.1   3.2 174.1    71  87.1 172.1    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64    72  17.1    21 161.2 186.1  54.2  80.1   119 191.1    34    27 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1  54.3    95    12   121  38.1 119.1  87.2 147.1  21.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[40]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00430987                0.82769468                0.08953657 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.01863602              0.01250226              0.46480882 
#>   grade_iii, Cure model 
#>              1.08933309 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 189   10.51      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 133   14.65      1  57        0         0
#> 107   11.18      1  54        1         0
#> 140   12.68      1  59        1         0
#> 194   22.40      1  38        0         1
#> 149    8.37      1  33        1         0
#> 136   21.83      1  43        0         1
#> 177   12.53      1  75        0         0
#> 189.1 10.51      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 107.1 11.18      1  54        1         0
#> 18    15.21      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 91     5.33      1  61        0         1
#> 5     16.43      1  51        0         1
#> 97    19.14      1  65        0         1
#> 106   16.67      1  49        1         0
#> 78    23.88      1  43        0         0
#> 43    12.10      1  61        0         1
#> 164   23.60      1  76        0         1
#> 43.1  12.10      1  61        0         1
#> 125   15.65      1  67        1         0
#> 89.1  11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 140.1 12.68      1  59        1         0
#> 124    9.73      1  NA        1         0
#> 14    12.89      1  21        0         0
#> 5.1   16.43      1  51        0         1
#> 158   20.14      1  74        1         0
#> 90.1  20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 66    22.13      1  53        0         0
#> 86    23.81      1  58        0         1
#> 45    17.42      1  54        0         1
#> 145   10.07      1  65        1         0
#> 76    19.22      1  54        0         1
#> 70     7.38      1  30        1         0
#> 96    14.54      1  33        0         1
#> 169   22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 6     15.64      1  39        0         0
#> 97.1  19.14      1  65        0         1
#> 85    16.44      1  36        0         0
#> 5.2   16.43      1  51        0         1
#> 30    17.43      1  78        0         0
#> 124.1  9.73      1  NA        1         0
#> 181   16.46      1  45        0         1
#> 159.1 10.55      1  50        0         1
#> 114.1 13.68      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 70.1   7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 13    14.34      1  54        0         1
#> 15    22.68      1  48        0         0
#> 190.1 20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 167   15.55      1  56        1         0
#> 155   13.08      1  26        0         0
#> 125.1 15.65      1  67        1         0
#> 154   12.63      1  20        1         0
#> 6.1   15.64      1  39        0         0
#> 154.1 12.63      1  20        1         0
#> 179   18.63      1  42        0         0
#> 14.1  12.89      1  21        0         0
#> 15.1  22.68      1  48        0         0
#> 58    19.34      1  39        0         0
#> 189.2 10.51      1  NA        1         0
#> 96.1  14.54      1  33        0         1
#> 43.2  12.10      1  61        0         1
#> 107.2 11.18      1  54        1         0
#> 99    21.19      1  38        0         1
#> 16     8.71      1  71        0         1
#> 177.1 12.53      1  75        0         0
#> 188   16.16      1  46        0         1
#> 136.1 21.83      1  43        0         1
#> 117.1 17.46      1  26        0         1
#> 59.1  10.16      1  NA        1         0
#> 6.2   15.64      1  39        0         0
#> 140.2 12.68      1  59        1         0
#> 52    10.42      1  52        0         1
#> 76.1  19.22      1  54        0         1
#> 106.1 16.67      1  49        1         0
#> 128   20.35      1  35        0         1
#> 150   20.33      1  48        0         0
#> 15.2  22.68      1  48        0         0
#> 57    14.46      1  45        0         1
#> 50    10.02      1  NA        1         0
#> 117.2 17.46      1  26        0         1
#> 51    18.23      1  83        0         1
#> 181.1 16.46      1  45        0         1
#> 40    18.00      1  28        1         0
#> 128.1 20.35      1  35        0         1
#> 114.2 13.68      1  NA        0         0
#> 190.2 20.81      1  42        1         0
#> 140.3 12.68      1  59        1         0
#> 171   16.57      1  41        0         1
#> 86.1  23.81      1  58        0         1
#> 92    22.92      1  47        0         1
#> 106.2 16.67      1  49        1         0
#> 86.2  23.81      1  58        0         1
#> 194.1 22.40      1  38        0         1
#> 167.1 15.55      1  56        1         0
#> 92.1  22.92      1  47        0         1
#> 125.2 15.65      1  67        1         0
#> 43.3  12.10      1  61        0         1
#> 100   16.07      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 54    24.00      0  53        1         0
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 35    24.00      0  51        0         0
#> 1     24.00      0  23        1         0
#> 186   24.00      0  45        1         0
#> 198   24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 71    24.00      0  51        0         0
#> 31    24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 67.1  24.00      0  25        0         0
#> 198.1 24.00      0  66        0         1
#> 152   24.00      0  36        0         1
#> 46    24.00      0  71        0         0
#> 182   24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 162   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 162.1 24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 118   24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 72.1  24.00      0  40        0         1
#> 132   24.00      0  55        0         0
#> 53    24.00      0  32        0         1
#> 200.1 24.00      0  64        0         0
#> 72.2  24.00      0  40        0         1
#> 19    24.00      0  57        0         1
#> 126   24.00      0  48        0         0
#> 132.1 24.00      0  55        0         0
#> 27    24.00      0  63        1         0
#> 160   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 104   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 12    24.00      0  63        0         0
#> 1.1   24.00      0  23        1         0
#> 33    24.00      0  53        0         0
#> 178.1 24.00      0  52        1         0
#> 95    24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 98    24.00      0  34        1         0
#> 172   24.00      0  41        0         0
#> 20.1  24.00      0  46        1         0
#> 144   24.00      0  28        0         1
#> 21    24.00      0  47        0         0
#> 22    24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 198.2 24.00      0  66        0         1
#> 120   24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 160.1 24.00      0  31        1         0
#> 200.2 24.00      0  64        0         0
#> 143.1 24.00      0  51        0         0
#> 34    24.00      0  36        0         0
#> 193.1 24.00      0  45        0         1
#> 160.2 24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 19.1  24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 104.1 24.00      0  50        1         0
#> 186.1 24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 73    24.00      0  NA        0         1
#> 144.1 24.00      0  28        0         1
#> 71.1  24.00      0  51        0         0
#> 80    24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 132.2 24.00      0  55        0         0
#> 131   24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 87    24.00      0  27        0         0
#> 74    24.00      0  43        0         1
#> 146   24.00      0  63        1         0
#> 109   24.00      0  48        0         0
#> 98.2  24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.02          NA        NA      NA
#> 2 age, Cure model           0.0125        NA        NA      NA
#> 3 grade_ii, Cure model      0.465         NA        NA      NA
#> 4 grade_iii, Cure model     1.09          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00431        NA        NA      NA
#> 2 grade_ii, Survival model   0.828          NA        NA      NA
#> 3 grade_iii, Survival model  0.0895         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.0186            0.0125            0.4648            1.0893  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.8 
#> Residual Deviance: 242.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.01863602       0.01250226       0.46480882       1.08933309 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00430987       0.82769468       0.08953657 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.231551982 0.676276527 0.865160401 0.754494977 0.121229756 0.964746031
#>   [7] 0.157979849 0.809986336 0.207361749 0.865160401 0.666535624 0.182830259
#>  [13] 0.991198718 0.526083474 0.337234407 0.455197256 0.005298475 0.828428666
#>  [19] 0.042819314 0.828428666 0.577417040 0.892155595 0.754494977 0.734922500
#>  [25] 0.526083474 0.294699797 0.207361749 0.928465834 0.145218782 0.017655156
#>  [31] 0.444342320 0.937611051 0.316024790 0.973698929 0.686048090 0.108769303
#>  [37] 0.946691699 0.607016942 0.337234407 0.515781465 0.526083474 0.433522659
#>  [43] 0.495441026 0.892155595 0.402085425 0.973698929 0.391340382 0.715277691
#>  [49] 0.076102776 0.231551982 0.636842105 0.646954031 0.725093042 0.577417040
#>  [55] 0.791659272 0.607016942 0.791659272 0.358678446 0.734922500 0.076102776
#>  [61] 0.305333473 0.686048090 0.828428666 0.865160401 0.195068294 0.955710567
#>  [67] 0.809986336 0.556603397 0.157979849 0.402085425 0.607016942 0.754494977
#>  [73] 0.910287913 0.316024790 0.455197256 0.262584359 0.283805475 0.076102776
#>  [79] 0.705480279 0.402085425 0.369620716 0.495441026 0.380639740 0.262584359
#>  [85] 0.231551982 0.754494977 0.485206374 0.017655156 0.054409994 0.455197256
#>  [91] 0.017655156 0.121229756 0.646954031 0.054409994 0.577417040 0.828428666
#>  [97] 0.566988454 0.910287913 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   190   133   107   140   194   149   136   177    90 107.1    18   139    91 
#> 20.81 14.65 11.18 12.68 22.40  8.37 21.83 12.53 20.94 11.18 15.21 21.49  5.33 
#>     5    97   106    78    43   164  43.1   125   159 140.1    14   5.1   158 
#> 16.43 19.14 16.67 23.88 12.10 23.60 12.10 15.65 10.55 12.68 12.89 16.43 20.14 
#>  90.1    93    66    86    45   145    76    70    96   169   183     6  97.1 
#> 20.94 10.33 22.13 23.81 17.42 10.07 19.22  7.38 14.54 22.41  9.24 15.64 19.14 
#>    85   5.2    30   181 159.1   117  70.1   184    13    15 190.1    39   167 
#> 16.44 16.43 17.43 16.46 10.55 17.46  7.38 17.77 14.34 22.68 20.81 15.59 15.55 
#>   155 125.1   154   6.1 154.1   179  14.1  15.1    58  96.1  43.2 107.2    99 
#> 13.08 15.65 12.63 15.64 12.63 18.63 12.89 22.68 19.34 14.54 12.10 11.18 21.19 
#>    16 177.1   188 136.1 117.1   6.2 140.2    52  76.1 106.1   128   150  15.2 
#>  8.71 12.53 16.16 21.83 17.46 15.64 12.68 10.42 19.22 16.67 20.35 20.33 22.68 
#>    57 117.2    51 181.1    40 128.1 190.2 140.3   171  86.1    92 106.2  86.2 
#> 14.46 17.46 18.23 16.46 18.00 20.35 20.81 12.68 16.57 23.81 22.92 16.67 23.81 
#> 194.1 167.1  92.1 125.2  43.3   100  52.1    54    67   191    35     1   186 
#> 22.40 15.55 22.92 15.65 12.10 16.07 10.42 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198   138    71    31   151  67.1 198.1   152    46   182   200   162    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1    72   118    62  72.1   132    53 200.1  72.2    19   126 132.1    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   193   165    17   104   178    12   1.1    33 178.1    95   176    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   172  20.1   144    21    22   122 198.2   120   143   142  17.1 160.1 200.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1    34 193.1 160.2    48     9 152.1   137 137.1  19.1   147 104.1 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1 144.1  71.1    80 165.1 132.2   131  98.1    87    74   146   109  98.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[41]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.02323952                0.17971533                0.10287801 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.952798308             0.009256976             0.669031360 
#>   grade_iii, Cure model 
#>             1.503750304 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 154   12.63      1  20        1         0
#> 197   21.60      1  69        1         0
#> 149    8.37      1  33        1         0
#> 134   17.81      1  47        1         0
#> 184   17.77      1  38        0         0
#> 52    10.42      1  52        0         1
#> 10    10.53      1  34        0         0
#> 16     8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 177   12.53      1  75        0         0
#> 57    14.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 58    19.34      1  39        0         0
#> 30    17.43      1  78        0         0
#> 108   18.29      1  39        0         1
#> 192   16.44      1  31        1         0
#> 183    9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 189   10.51      1  NA        1         0
#> 40.1  18.00      1  28        1         0
#> 4     17.64      1  NA        0         1
#> 183.1  9.24      1  67        1         0
#> 85    16.44      1  36        0         0
#> 79    16.23      1  54        1         0
#> 154.1 12.63      1  20        1         0
#> 181   16.46      1  45        0         1
#> 43    12.10      1  61        0         1
#> 57.1  14.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 149.1  8.37      1  33        1         0
#> 189.1 10.51      1  NA        1         0
#> 164   23.60      1  76        0         1
#> 13    14.34      1  54        0         1
#> 56    12.21      1  60        0         0
#> 164.1 23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 68    20.62      1  44        0         0
#> 128   20.35      1  35        0         1
#> 45    17.42      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 23    16.92      1  61        0         0
#> 90    20.94      1  50        0         1
#> 187    9.92      1  39        1         0
#> 169   22.41      1  46        0         0
#> 97    19.14      1  65        0         1
#> 6     15.64      1  39        0         0
#> 66    22.13      1  53        0         0
#> 57.2  14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 45.1  17.42      1  54        0         1
#> 106   16.67      1  49        1         0
#> 5     16.43      1  51        0         1
#> 63    22.77      1  31        1         0
#> 89.1  11.44      1  NA        0         0
#> 187.1  9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 101.2  9.97      1  10        0         1
#> 183.2  9.24      1  67        1         0
#> 129   23.41      1  53        1         0
#> 190   20.81      1  42        1         0
#> 189.2 10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 40.2  18.00      1  28        1         0
#> 167   15.55      1  56        1         0
#> 149.2  8.37      1  33        1         0
#> 134.1 17.81      1  47        1         0
#> 154.2 12.63      1  20        1         0
#> 164.2 23.60      1  76        0         1
#> 108.1 18.29      1  39        0         1
#> 41    18.02      1  40        1         0
#> 177.1 12.53      1  75        0         0
#> 197.1 21.60      1  69        1         0
#> 92    22.92      1  47        0         1
#> 36    21.19      1  48        0         1
#> 110   17.56      1  65        0         1
#> 13.1  14.34      1  54        0         1
#> 171   16.57      1  41        0         1
#> 61    10.12      1  36        0         1
#> 111   17.45      1  47        0         1
#> 124    9.73      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 164.3 23.60      1  76        0         1
#> 14    12.89      1  21        0         0
#> 40.3  18.00      1  28        1         0
#> 6.1   15.64      1  39        0         0
#> 37.1  12.52      1  57        1         0
#> 153.2 21.33      1  55        1         0
#> 91     5.33      1  61        0         1
#> 58.1  19.34      1  39        0         0
#> 16.1   8.71      1  71        0         1
#> 166   19.98      1  48        0         0
#> 81    14.06      1  34        0         0
#> 150   20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 86    23.81      1  58        0         1
#> 85.1  16.44      1  36        0         0
#> 91.1   5.33      1  61        0         1
#> 45.2  17.42      1  54        0         1
#> 107   11.18      1  54        1         0
#> 199.1 19.81      1  NA        0         1
#> 13.2  14.34      1  54        0         1
#> 181.1 16.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 114   13.68      1  NA        0         0
#> 110.1 17.56      1  65        0         1
#> 70     7.38      1  30        1         0
#> 177.2 12.53      1  75        0         0
#> 181.2 16.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 21    24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 147   24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 162   24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 172   24.00      0  41        0         0
#> 152   24.00      0  36        0         1
#> 200   24.00      0  64        0         0
#> 165   24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 9.1   24.00      0  31        1         0
#> 119   24.00      0  17        0         0
#> 121   24.00      0  57        1         0
#> 172.1 24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 152.1 24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 35    24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 162.1 24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 83    24.00      0   6        0         0
#> 87    24.00      0  27        0         0
#> 54    24.00      0  53        1         0
#> 196   24.00      0  19        0         0
#> 186.1 24.00      0  45        1         0
#> 74.1  24.00      0  43        0         1
#> 109   24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 33    24.00      0  53        0         0
#> 35.1  24.00      0  51        0         0
#> 196.1 24.00      0  19        0         0
#> 119.1 24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 34.1  24.00      0  36        0         0
#> 87.1  24.00      0  27        0         0
#> 161   24.00      0  45        0         0
#> 28    24.00      0  67        1         0
#> 162.2 24.00      0  51        0         0
#> 185.1 24.00      0  44        1         0
#> 109.1 24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 2.1   24.00      0   9        0         0
#> 28.1  24.00      0  67        1         0
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 109.2 24.00      0  48        0         0
#> 83.1  24.00      0   6        0         0
#> 146   24.00      0  63        1         0
#> 31    24.00      0  36        0         1
#> 142   24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 191.1 24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 162.3 24.00      0  51        0         0
#> 28.2  24.00      0  67        1         0
#> 83.2  24.00      0   6        0         0
#> 147.1 24.00      0  76        1         0
#> 165.1 24.00      0  47        0         0
#> 75    24.00      0  21        1         0
#> 20    24.00      0  46        1         0
#> 21.1  24.00      0  47        0         0
#> 33.1  24.00      0  53        0         0
#> 94.1  24.00      0  51        0         1
#> 54.1  24.00      0  53        1         0
#> 98    24.00      0  34        1         0
#> 64    24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 48    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 94.2  24.00      0  51        0         1
#> 193   24.00      0  45        0         1
#> 35.2  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 146.1 24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.953          NA        NA      NA
#> 2 age, Cure model          0.00926        NA        NA      NA
#> 3 grade_ii, Cure model     0.669          NA        NA      NA
#> 4 grade_iii, Cure model    1.50           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0232        NA        NA      NA
#> 2 grade_ii, Survival model    0.180         NA        NA      NA
#> 3 grade_iii, Survival model   0.103         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.952798          0.009257          0.669031          1.503750  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 239.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.952798308      0.009256976      0.669031360      1.503750304 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.02323952       0.17971533       0.10287801 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 3.877608e-01 3.298284e-03 8.560966e-01 6.320496e-02 7.304086e-02
#>   [6] 6.058948e-01 5.865899e-01 8.104236e-01 4.649180e-02 4.315103e-01
#>  [11] 2.554896e-01 1.932755e-03 6.456745e-01 2.482482e-02 9.589198e-02
#>  [16] 3.465267e-02 1.732192e-01 7.457175e-01 5.175690e-03 4.649180e-02
#>  [21] 7.457175e-01 1.732192e-01 2.116394e-01 3.877608e-01 1.472049e-01
#>  [26] 5.309121e-01 2.554896e-01 5.175690e-03 8.560966e-01 8.642699e-06
#>  [31] 2.913078e-01 5.132004e-01 8.642699e-06 3.585064e-01 1.461485e-02
#>  [36] 1.687315e-02 1.023838e-01 1.231936e-01 1.067490e-02 7.046379e-01
#>  [41] 9.984789e-04 3.106854e-02 2.221855e-01 1.411406e-03 2.554896e-01
#>  [46] 2.561775e-03 1.023838e-01 1.309120e-01 2.014285e-01 6.741467e-04
#>  [51] 7.046379e-01 6.456745e-01 6.456745e-01 7.457175e-01 2.161445e-04
#>  [56] 1.256007e-02 4.792539e-01 4.649180e-02 2.439818e-01 8.560966e-01
#>  [61] 6.320496e-02 3.877608e-01 8.642699e-06 3.465267e-02 4.227874e-02
#>  [66] 4.315103e-01 3.298284e-03 4.051168e-04 8.984920e-03 7.835403e-02
#>  [71] 2.913078e-01 1.389217e-01 6.256203e-01 8.974822e-02 3.443172e-01
#>  [76] 8.642699e-06 3.730228e-01 4.649180e-02 2.221855e-01 4.792539e-01
#>  [81] 5.175690e-03 9.503577e-01 2.482482e-02 8.104236e-01 2.194385e-02
#>  [86] 3.304173e-01 1.929667e-02 5.676258e-01 3.403906e-08 1.732192e-01
#>  [91] 9.503577e-01 1.023838e-01 5.490668e-01 2.913078e-01 1.472049e-01
#>  [96] 7.835403e-02 9.261416e-01 4.315103e-01 1.472049e-01 1.097172e-06
#> [101] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00
#> 
#> $Time
#>   154   197   149   134   184    52    10    16    40   177    57   175   101 
#> 12.63 21.60  8.37 17.81 17.77 10.42 10.53  8.71 18.00 12.53 14.46 21.91  9.97 
#>    58    30   108   192   183   153  40.1 183.1    85    79 154.1   181    43 
#> 19.34 17.43 18.29 16.44  9.24 21.33 18.00  9.24 16.44 16.23 12.63 16.46 12.10 
#>  57.1 153.1 149.1   164    13    56 164.1   123    68   128    45    23    90 
#> 14.46 21.33  8.37 23.60 14.34 12.21 23.60 13.00 20.62 20.35 17.42 16.92 20.94 
#>   187   169    97     6    66  57.2   136  45.1   106     5    63 187.1 101.1 
#>  9.92 22.41 19.14 15.64 22.13 14.46 21.83 17.42 16.67 16.43 22.77  9.92  9.97 
#> 101.2 183.2   129   190    37  40.2   167 149.2 134.1 154.2 164.2 108.1    41 
#>  9.97  9.24 23.41 20.81 12.52 18.00 15.55  8.37 17.81 12.63 23.60 18.29 18.02 
#> 177.1 197.1    92    36   110  13.1   171    61   111    60 164.3    14  40.3 
#> 12.53 21.60 22.92 21.19 17.56 14.34 16.57 10.12 17.45 13.15 23.60 12.89 18.00 
#>   6.1  37.1 153.2    91  58.1  16.1   166    81   150   159    86  85.1  91.1 
#> 15.64 12.52 21.33  5.33 19.34  8.71 19.98 14.06 20.33 10.55 23.81 16.44  5.33 
#>  45.2   107  13.2 181.1 110.1    70 177.2 181.2   168    21     7    34   147 
#> 17.42 11.18 14.34 16.46 17.56  7.38 12.53 16.46 23.72 24.00 24.00 24.00 24.00 
#>   151   162   174   178   186     9 178.1   172   152   200   165    74    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   119   121 172.1    53   185 152.1   104    35     2 162.1   102    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    54   196 186.1  74.1   109 121.1    33  35.1 196.1 119.1    94    27 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11  34.1  87.1   161    28 162.2 185.1 109.1    44   2.1  28.1   191   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.2  83.1   146    31   142 191.1   163    22 162.3  28.2  83.2 147.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75    20  21.1  33.1  94.1  54.1    98    64    48    95   138  94.2   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2    65 146.1  48.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[42]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004179013               0.341716687               0.271705215 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.56400720              0.01128498             -0.46945250 
#>   grade_iii, Cure model 
#>              1.06606383 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 159   10.55      1  50        0         1
#> 16     8.71      1  71        0         1
#> 66    22.13      1  53        0         0
#> 110   17.56      1  65        0         1
#> 125   15.65      1  67        1         0
#> 97    19.14      1  65        0         1
#> 88    18.37      1  47        0         0
#> 110.1 17.56      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 155   13.08      1  26        0         0
#> 110.2 17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 26    15.77      1  49        0         1
#> 49    12.19      1  48        1         0
#> 179   18.63      1  42        0         0
#> 180   14.82      1  37        0         0
#> 128   20.35      1  35        0         1
#> 130   16.47      1  53        0         1
#> 59    10.16      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 130.1 16.47      1  53        0         1
#> 101    9.97      1  10        0         1
#> 184   17.77      1  38        0         0
#> 50    10.02      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 30    17.43      1  78        0         0
#> 157   15.10      1  47        0         0
#> 108   18.29      1  39        0         1
#> 77     7.27      1  67        0         1
#> 155.1 13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 195   11.76      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 113.1 22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 100   16.07      1  60        0         0
#> 154   12.63      1  20        1         0
#> 86.1  23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 79    16.23      1  54        1         0
#> 170   19.54      1  43        0         1
#> 179.1 18.63      1  42        0         0
#> 30.1  17.43      1  78        0         0
#> 61    10.12      1  36        0         1
#> 177.1 12.53      1  75        0         0
#> 32    20.90      1  37        1         0
#> 107   11.18      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 171   16.57      1  41        0         1
#> 99    21.19      1  38        0         1
#> 181   16.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 188   16.16      1  46        0         1
#> 50.1  10.02      1  NA        1         0
#> 170.1 19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 41    18.02      1  40        1         0
#> 52.1  10.42      1  52        0         1
#> 110.3 17.56      1  65        0         1
#> 78    23.88      1  43        0         0
#> 76    19.22      1  54        0         1
#> 189   10.51      1  NA        1         0
#> 154.1 12.63      1  20        1         0
#> 101.1  9.97      1  10        0         1
#> 32.1  20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 60    13.15      1  38        1         0
#> 166   19.98      1  48        0         0
#> 32.2  20.90      1  37        1         0
#> 58.1  19.34      1  39        0         0
#> 164   23.60      1  76        0         1
#> 69    23.23      1  25        0         1
#> 184.1 17.77      1  38        0         0
#> 97.1  19.14      1  65        0         1
#> 88.1  18.37      1  47        0         0
#> 4.1   17.64      1  NA        0         1
#> 13.1  14.34      1  54        0         1
#> 184.2 17.77      1  38        0         0
#> 29    15.45      1  68        1         0
#> 36    21.19      1  48        0         1
#> 66.1  22.13      1  53        0         0
#> 106   16.67      1  49        1         0
#> 51    18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 16.1   8.71      1  71        0         1
#> 14    12.89      1  21        0         0
#> 70     7.38      1  30        1         0
#> 5     16.43      1  51        0         1
#> 88.2  18.37      1  47        0         0
#> 63    22.77      1  31        1         0
#> 108.1 18.29      1  39        0         1
#> 30.2  17.43      1  78        0         0
#> 4.2   17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 50.2  10.02      1  NA        1         0
#> 108.2 18.29      1  39        0         1
#> 158   20.14      1  74        1         0
#> 179.2 18.63      1  42        0         0
#> 26.1  15.77      1  49        0         1
#> 197.1 21.60      1  69        1         0
#> 97.2  19.14      1  65        0         1
#> 97.3  19.14      1  65        0         1
#> 56    12.21      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 37    12.52      1  57        1         0
#> 197.2 21.60      1  69        1         0
#> 85    16.44      1  36        0         0
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 147   24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 151   24.00      0  42        0         0
#> 46    24.00      0  71        0         0
#> 162   24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 193.1 24.00      0  45        0         1
#> 2     24.00      0   9        0         0
#> 122   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 75.1  24.00      0  21        1         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 156.1 24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 2.1   24.00      0   9        0         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 31    24.00      0  36        0         1
#> 1     24.00      0  23        1         0
#> 54    24.00      0  53        1         0
#> 9     24.00      0  31        1         0
#> 151.1 24.00      0  42        0         0
#> 102   24.00      0  49        0         0
#> 196   24.00      0  19        0         0
#> 173   24.00      0  19        0         1
#> 28    24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 1.1   24.00      0  23        1         0
#> 112   24.00      0  61        0         0
#> 185   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 102.1 24.00      0  49        0         0
#> 135   24.00      0  58        1         0
#> 46.1  24.00      0  71        0         0
#> 116   24.00      0  58        0         1
#> 28.1  24.00      0  67        1         0
#> 98    24.00      0  34        1         0
#> 156.2 24.00      0  50        1         0
#> 83    24.00      0   6        0         0
#> 11.1  24.00      0  42        0         1
#> 62.1  24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 118.1 24.00      0  44        1         0
#> 135.1 24.00      0  58        1         0
#> 118.2 24.00      0  44        1         0
#> 151.2 24.00      0  42        0         0
#> 98.1  24.00      0  34        1         0
#> 193.2 24.00      0  45        0         1
#> 46.2  24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 1.2   24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 33.1  24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 165   24.00      0  47        0         0
#> 172.1 24.00      0  41        0         0
#> 118.3 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 193.3 24.00      0  45        0         1
#> 53    24.00      0  32        0         1
#> 112.1 24.00      0  61        0         0
#> 7     24.00      0  37        1         0
#> 143.1 24.00      0  51        0         0
#> 119   24.00      0  17        0         0
#> 156.3 24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 131   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 28.2  24.00      0  67        1         0
#> 126   24.00      0  48        0         0
#> 9.1   24.00      0  31        1         0
#> 173.1 24.00      0  19        0         1
#> 160   24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 95    24.00      0  68        0         1
#> 75.2  24.00      0  21        1         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 174.1 24.00      0  49        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.564         NA        NA      NA
#> 2 age, Cure model           0.0113        NA        NA      NA
#> 3 grade_ii, Cure model     -0.469         NA        NA      NA
#> 4 grade_iii, Cure model     1.07          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00418        NA        NA      NA
#> 2 grade_ii, Survival model   0.342          NA        NA      NA
#> 3 grade_iii, Survival model  0.272          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.56401           0.01128          -0.46945           1.06606  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262.4 
#> Residual Deviance: 243 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.56400720       0.01128498      -0.46945250       1.06606383 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004179013      0.341716687      0.271705215 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.026559533 0.853286202 0.941528958 0.104350425 0.479549286 0.665924150
#>   [7] 0.307509733 0.373208677 0.479549286 0.278620507 0.735100645 0.479549286
#>  [13] 0.124333676 0.646273369 0.833534125 0.344611726 0.695601308 0.221292984
#>  [19] 0.567127604 0.873024226 0.567127604 0.922069099 0.450564735 0.134909032
#>  [25] 0.517802096 0.685694803 0.402202717 0.970759484 0.735100645 0.705528069
#>  [31] 0.990261112 0.074635643 0.074635643 0.892640813 0.636351110 0.774578089
#>  [37] 0.026559533 0.794103301 0.616562061 0.259653885 0.344611726 0.517802096
#>  [43] 0.912233349 0.794103301 0.183608888 0.843417278 0.892640813 0.557184799
#>  [49] 0.163894317 0.586803753 0.211484258 0.626463047 0.259653885 0.980521010
#>  [55] 0.440782978 0.873024226 0.479549286 0.014690675 0.297783751 0.774578089
#>  [61] 0.922069099 0.183608888 0.004549906 0.863147741 0.725216039 0.249921284
#>  [67] 0.183608888 0.278620507 0.045285100 0.064484836 0.450564735 0.307509733
#>  [73] 0.373208677 0.705528069 0.450564735 0.675813757 0.163894317 0.104350425
#>  [79] 0.547223231 0.430959656 0.754791124 0.941528958 0.764679229 0.960998768
#>  [85] 0.606641476 0.373208677 0.094239382 0.402202717 0.517802096 0.045285100
#>  [91] 0.402202717 0.240257124 0.344611726 0.646273369 0.134909032 0.307509733
#>  [97] 0.307509733 0.823633180 0.221292984 0.813758562 0.134909032 0.596711098
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    86   159    16    66   110   125    97    88 110.1    58   155 110.2   175 
#> 23.81 10.55  8.71 22.13 17.56 15.65 19.14 18.37 17.56 19.34 13.08 17.56 21.91 
#>    26    49   179   180   128   130    52 130.1   101   184   197    30   157 
#> 15.77 12.19 18.63 14.82 20.35 16.47 10.42 16.47  9.97 17.77 21.60 17.43 15.10 
#>   108    77 155.1    13   127   113 113.1    93   100   154  86.1   177    79 
#> 18.29  7.27 13.08 14.34  3.53 22.86 22.86 10.33 16.07 12.63 23.81 12.53 16.23 
#>   170 179.1  30.1    61 177.1    32   107  93.1   171    99   181    68   188 
#> 19.54 18.63 17.43 10.12 12.53 20.90 11.18 10.33 16.57 21.19 16.46 20.62 16.16 
#> 170.1    25    41  52.1 110.3    78    76 154.1 101.1  32.1    24    10    60 
#> 19.54  6.32 18.02 10.42 17.56 23.88 19.22 12.63  9.97 20.90 23.89 10.53 13.15 
#>   166  32.2  58.1   164    69 184.1  97.1  88.1  13.1 184.2    29    36  66.1 
#> 19.98 20.90 19.34 23.60 23.23 17.77 19.14 18.37 14.34 17.77 15.45 21.19 22.13 
#>   106    51   123  16.1    14    70     5  88.2    63 108.1  30.2 164.1 108.2 
#> 16.67 18.23 13.00  8.71 12.89  7.38 16.43 18.37 22.77 18.29 17.43 23.60 18.29 
#>   158 179.2  26.1 197.1  97.2  97.3    56 128.1    37 197.2    85    20    75 
#> 20.14 18.63 15.77 21.60 19.14 19.14 12.21 20.35 12.52 21.60 16.44 24.00 24.00 
#>   147    11   151    46   162   193 193.1     2   122   156   143    33  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137 137.1 156.1   118   2.1   109   152   120   174    31     1    54     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1   102   196   173    28    62   1.1   112   185    94 102.1   135  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116  28.1    98 156.2    83  11.1  62.1    80 118.1 135.1 118.2 151.2  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.2  46.2    27   1.2    71  33.1   172   165 172.1 118.3   104  20.1 193.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53 112.1     7 143.1   119 156.3    67   131    48  28.2   126   9.1 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160    74    95  75.2   163 163.1    12 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[43]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004852412               0.656855908               0.426986130 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.517873444             0.006195792             0.077843914 
#>   grade_iii, Cure model 
#>             1.328734911 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 168   23.72      1  70        0         0
#> 37    12.52      1  57        1         0
#> 76    19.22      1  54        0         1
#> 42    12.43      1  49        0         1
#> 68    20.62      1  44        0         0
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 134   17.81      1  47        1         0
#> 59    10.16      1  NA        1         0
#> 70     7.38      1  30        1         0
#> 199   19.81      1  NA        0         1
#> 40    18.00      1  28        1         0
#> 150   20.33      1  48        0         0
#> 93    10.33      1  52        0         1
#> 108   18.29      1  39        0         1
#> 99    21.19      1  38        0         1
#> 111   17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 40.1  18.00      1  28        1         0
#> 101    9.97      1  10        0         1
#> 66    22.13      1  53        0         0
#> 70.1   7.38      1  30        1         0
#> 155   13.08      1  26        0         0
#> 167   15.55      1  56        1         0
#> 113   22.86      1  34        0         0
#> 99.1  21.19      1  38        0         1
#> 58    19.34      1  39        0         0
#> 85    16.44      1  36        0         0
#> 6.1   15.64      1  39        0         0
#> 69.1  23.23      1  25        0         1
#> 32    20.90      1  37        1         0
#> 41    18.02      1  40        1         0
#> 58.1  19.34      1  39        0         0
#> 111.1 17.45      1  47        0         1
#> 155.1 13.08      1  26        0         0
#> 39    15.59      1  37        0         1
#> 10    10.53      1  34        0         0
#> 70.2   7.38      1  30        1         0
#> 29    15.45      1  68        1         0
#> 76.1  19.22      1  54        0         1
#> 30    17.43      1  78        0         0
#> 184   17.77      1  38        0         0
#> 78    23.88      1  43        0         0
#> 45    17.42      1  54        0         1
#> 13    14.34      1  54        0         1
#> 180   14.82      1  37        0         0
#> 36    21.19      1  48        0         1
#> 59.1  10.16      1  NA        1         0
#> 91     5.33      1  61        0         1
#> 158   20.14      1  74        1         0
#> 195   11.76      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 127    3.53      1  62        0         1
#> 56    12.21      1  60        0         0
#> 37.1  12.52      1  57        1         0
#> 150.1 20.33      1  48        0         0
#> 105   19.75      1  60        0         0
#> 99.2  21.19      1  38        0         1
#> 39.1  15.59      1  37        0         1
#> 50    10.02      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 41.1  18.02      1  40        1         0
#> 181   16.46      1  45        0         1
#> 124    9.73      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 130   16.47      1  53        0         1
#> 24    23.89      1  38        0         0
#> 124.1  9.73      1  NA        1         0
#> 139   21.49      1  63        1         0
#> 136   21.83      1  43        0         1
#> 149.1  8.37      1  33        1         0
#> 183    9.24      1  67        1         0
#> 91.1   5.33      1  61        0         1
#> 52    10.42      1  52        0         1
#> 106.1 16.67      1  49        1         0
#> 93.1  10.33      1  52        0         1
#> 24.1  23.89      1  38        0         0
#> 107   11.18      1  54        1         0
#> 189   10.51      1  NA        1         0
#> 105.1 19.75      1  60        0         0
#> 190   20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 101.1  9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 130.1 16.47      1  53        0         1
#> 155.2 13.08      1  26        0         0
#> 41.2  18.02      1  40        1         0
#> 79    16.23      1  54        1         0
#> 23    16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 159   10.55      1  50        0         1
#> 10.1  10.53      1  34        0         0
#> 57    14.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 180.1 14.82      1  37        0         0
#> 55    19.34      1  69        0         1
#> 171   16.57      1  41        0         1
#> 127.1  3.53      1  62        0         1
#> 90.1  20.94      1  50        0         1
#> 159.1 10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 51.1  18.23      1  83        0         1
#> 42.1  12.43      1  49        0         1
#> 13.1  14.34      1  54        0         1
#> 14    12.89      1  21        0         0
#> 13.2  14.34      1  54        0         1
#> 60    13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 52.1  10.42      1  52        0         1
#> 184.1 17.77      1  38        0         0
#> 151   24.00      0  42        0         0
#> 64    24.00      0  43        0         0
#> 33    24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 35    24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 38    24.00      0  31        1         0
#> 64.1  24.00      0  43        0         0
#> 173   24.00      0  19        0         1
#> 172   24.00      0  41        0         0
#> 141   24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 74    24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 172.1 24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 82    24.00      0  34        0         0
#> 104   24.00      0  50        1         0
#> 151.1 24.00      0  42        0         0
#> 33.1  24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 83.1  24.00      0   6        0         0
#> 142.1 24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 94    24.00      0  51        0         1
#> 98    24.00      0  34        1         0
#> 84    24.00      0  39        0         1
#> 104.1 24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 75    24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 144   24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 118   24.00      0  44        1         0
#> 94.1  24.00      0  51        0         1
#> 35.2  24.00      0  51        0         0
#> 178   24.00      0  52        1         0
#> 72    24.00      0  40        0         1
#> 137.1 24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 163   24.00      0  66        0         0
#> 135.1 24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 48    24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 54.1  24.00      0  53        1         0
#> 44    24.00      0  56        0         0
#> 162.2 24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 118.1 24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 82.1  24.00      0  34        0         0
#> 143   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 151.2 24.00      0  42        0         0
#> 112.1 24.00      0  61        0         0
#> 141.1 24.00      0  44        1         0
#> 118.2 24.00      0  44        1         0
#> 135.2 24.00      0  58        1         0
#> 82.2  24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 53    24.00      0  32        0         1
#> 200   24.00      0  64        0         0
#> 115   24.00      0  NA        1         0
#> 75.1  24.00      0  21        1         0
#> 7.1   24.00      0  37        1         0
#> 141.2 24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 75.2  24.00      0  21        1         0
#> 53.1  24.00      0  32        0         1
#> 12.1  24.00      0  63        0         0
#> 47    24.00      0  38        0         1
#> 1.1   24.00      0  23        1         0
#> 46.1  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.518          NA        NA      NA
#> 2 age, Cure model          0.00620        NA        NA      NA
#> 3 grade_ii, Cure model     0.0778         NA        NA      NA
#> 4 grade_iii, Cure model    1.33           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00485        NA        NA      NA
#> 2 grade_ii, Survival model   0.657          NA        NA      NA
#> 3 grade_iii, Survival model  0.427          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.517873          0.006196          0.077844          1.328735  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 244.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.517873444      0.006195792      0.077843914      1.328734911 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004852412      0.656855908      0.426986130 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.041963331 0.772691964 0.347855041 0.789978987 0.244749161 0.072678826
#>   [7] 0.202821536 0.446643871 0.943204346 0.427797319 0.255092058 0.875823487
#>  [13] 0.368347170 0.161925030 0.474830652 0.604119571 0.427797319 0.901373386
#>  [19] 0.110098027 0.943204346 0.728807212 0.640086706 0.096865875 0.161925030
#>  [25] 0.317256361 0.576792443 0.604119571 0.072678826 0.223966425 0.398983471
#>  [31] 0.317256361 0.474830652 0.728807212 0.622176081 0.841588492 0.943204346
#>  [37] 0.649046252 0.347855041 0.493438342 0.456061195 0.028014965 0.502888282
#>  [43] 0.693673943 0.666894903 0.161925030 0.967534653 0.275699363 0.926626979
#>  [49] 0.595069836 0.057430784 0.983785327 0.807187587 0.772691964 0.255092058
#>  [55] 0.286066171 0.161925030 0.622176081 0.521769269 0.398983471 0.567642575
#>  [61] 0.892845077 0.549422756 0.008416989 0.136953246 0.123702530 0.926626979
#>  [67] 0.918203509 0.967534653 0.858738541 0.521769269 0.875823487 0.008416989
#>  [73] 0.815861724 0.286066171 0.234489668 0.306797233 0.901373386 0.378661766
#>  [79] 0.549422756 0.728807212 0.398983471 0.585965637 0.512306488 0.657958234
#>  [85] 0.824491443 0.841588492 0.684726522 0.666894903 0.317256361 0.540178859
#>  [91] 0.983785327 0.202821536 0.824491443 0.763908131 0.378661766 0.789978987
#>  [97] 0.693673943 0.755047855 0.693673943 0.719991320 0.149686958 0.858738541
#> [103] 0.456061195 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   168    37    76    42    68    69    90   134    70    40   150    93   108 
#> 23.72 12.52 19.22 12.43 20.62 23.23 20.94 17.81  7.38 18.00 20.33 10.33 18.29 
#>    99   111     6  40.1   101    66  70.1   155   167   113  99.1    58    85 
#> 21.19 17.45 15.64 18.00  9.97 22.13  7.38 13.08 15.55 22.86 21.19 19.34 16.44 
#>   6.1  69.1    32    41  58.1 111.1 155.1    39    10  70.2    29  76.1    30 
#> 15.64 23.23 20.90 18.02 19.34 17.45 13.08 15.59 10.53  7.38 15.45 19.22 17.43 
#>   184    78    45    13   180    36    91   158   149   125   164   127    56 
#> 17.77 23.88 17.42 14.34 14.82 21.19  5.33 20.14  8.37 15.65 23.60  3.53 12.21 
#>  37.1 150.1   105  99.2  39.1   106  41.1   181    61   130    24   139   136 
#> 12.52 20.33 19.75 21.19 15.59 16.67 18.02 16.46 10.12 16.47 23.89 21.49 21.83 
#> 149.1   183  91.1    52 106.1  93.1  24.1   107 105.1   190   170 101.1    51 
#>  8.37  9.24  5.33 10.42 16.67 10.33 23.89 11.18 19.75 20.81 19.54  9.97 18.23 
#> 130.1 155.2  41.2    79    23   157   159  10.1    57 180.1    55   171 127.1 
#> 16.47 13.08 18.02 16.23 16.92 15.10 10.55 10.53 14.46 14.82 19.34 16.57  3.53 
#>  90.1 159.1   154  51.1  42.1  13.1    14  13.2    60   153  52.1 184.1   151 
#> 20.94 10.55 12.63 18.23 12.43 14.34 12.89 14.34 13.15 21.33 10.42 17.77 24.00 
#>    64    33    65   198    35   137   103    38  64.1   173   172   141   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   142 172.1  35.1   109    83    82   104 151.1  33.1   121  83.1 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161    94    98    84 104.1    17    46   138   196    75    87   144    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118  94.1  35.2   178    72 137.1   182   163 135.1     1    48    54     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   162 162.1    22  54.1    44 162.2   120 118.1  72.1  82.1   143   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.2 112.1 141.1 118.2 135.2  82.2   174    53   200  75.1   7.1 141.2    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131  75.2  53.1  12.1    47   1.1  46.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[44]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01271082                0.25884702                0.35170598 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93041199              0.02583984             -0.30926814 
#>   grade_iii, Cure model 
#>             -0.12588558 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 199   19.81      1  NA        0         1
#> 89    11.44      1  NA        0         0
#> 117   17.46      1  26        0         1
#> 8     18.43      1  32        0         0
#> 58    19.34      1  39        0         0
#> 179   18.63      1  42        0         0
#> 108   18.29      1  39        0         1
#> 124    9.73      1  NA        1         0
#> 108.1 18.29      1  39        0         1
#> 51    18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 29    15.45      1  68        1         0
#> 169   22.41      1  46        0         0
#> 14    12.89      1  21        0         0
#> 51.1  18.23      1  83        0         1
#> 42    12.43      1  49        0         1
#> 140   12.68      1  59        1         0
#> 89.1  11.44      1  NA        0         0
#> 107   11.18      1  54        1         0
#> 77     7.27      1  67        0         1
#> 108.2 18.29      1  39        0         1
#> 192   16.44      1  31        1         0
#> 85    16.44      1  36        0         0
#> 179.1 18.63      1  42        0         0
#> 133   14.65      1  57        0         0
#> 183    9.24      1  67        1         0
#> 8.1   18.43      1  32        0         0
#> 183.1  9.24      1  67        1         0
#> 23    16.92      1  61        0         0
#> 169.1 22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 164   23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 166   19.98      1  48        0         0
#> 158   20.14      1  74        1         0
#> 129   23.41      1  53        1         0
#> 57    14.46      1  45        0         1
#> 110   17.56      1  65        0         1
#> 50    10.02      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 24    23.89      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 127    3.53      1  62        0         1
#> 25     6.32      1  34        1         0
#> 110.1 17.56      1  65        0         1
#> 110.2 17.56      1  65        0         1
#> 170   19.54      1  43        0         1
#> 139.1 21.49      1  63        1         0
#> 43    12.10      1  61        0         1
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 180   14.82      1  37        0         0
#> 123   13.00      1  44        1         0
#> 85.2  16.44      1  36        0         0
#> 37    12.52      1  57        1         0
#> 81    14.06      1  34        0         0
#> 167   15.55      1  56        1         0
#> 51.2  18.23      1  83        0         1
#> 168   23.72      1  70        0         0
#> 114   13.68      1  NA        0         0
#> 37.1  12.52      1  57        1         0
#> 4     17.64      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 134   17.81      1  47        1         0
#> 168.1 23.72      1  70        0         0
#> 91     5.33      1  61        0         1
#> 130   16.47      1  53        0         1
#> 139.2 21.49      1  63        1         0
#> 14.1  12.89      1  21        0         0
#> 36    21.19      1  48        0         1
#> 113   22.86      1  34        0         0
#> 92    22.92      1  47        0         1
#> 199.1 19.81      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 93    10.33      1  52        0         1
#> 157   15.10      1  47        0         0
#> 45.1  17.42      1  54        0         1
#> 56    12.21      1  60        0         0
#> 180.1 14.82      1  37        0         0
#> 58.1  19.34      1  39        0         0
#> 133.1 14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 56.1  12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 107.2 11.18      1  54        1         0
#> 85.3  16.44      1  36        0         0
#> 129.1 23.41      1  53        1         0
#> 57.1  14.46      1  45        0         1
#> 16     8.71      1  71        0         1
#> 129.2 23.41      1  53        1         0
#> 41    18.02      1  40        1         0
#> 168.2 23.72      1  70        0         0
#> 155.1 13.08      1  26        0         0
#> 56.2  12.21      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 40.1  18.00      1  28        1         0
#> 159   10.55      1  50        0         1
#> 10    10.53      1  34        0         0
#> 179.2 18.63      1  42        0         0
#> 177   12.53      1  75        0         0
#> 85.4  16.44      1  36        0         0
#> 183.2  9.24      1  67        1         0
#> 153   21.33      1  55        1         0
#> 89.2  11.44      1  NA        0         0
#> 89.3  11.44      1  NA        0         0
#> 139.3 21.49      1  63        1         0
#> 133.2 14.65      1  57        0         0
#> 10.1  10.53      1  34        0         0
#> 188.1 16.16      1  46        0         1
#> 53    24.00      0  32        0         1
#> 126   24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 54.1  24.00      0  53        1         0
#> 38    24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 80    24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 121   24.00      0  57        1         0
#> 54.2  24.00      0  53        1         0
#> 33.1  24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 35    24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 28    24.00      0  67        1         0
#> 83    24.00      0   6        0         0
#> 73.1  24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 165   24.00      0  47        0         0
#> 151.1 24.00      0  42        0         0
#> 143   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 53.1  24.00      0  32        0         1
#> 185   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 83.1  24.00      0   6        0         0
#> 102.1 24.00      0  49        0         0
#> 116   24.00      0  58        0         1
#> 67.1  24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 102.2 24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 80.1  24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 95    24.00      0  68        0         1
#> 151.2 24.00      0  42        0         0
#> 161   24.00      0  45        0         0
#> 65    24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 21.1  24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 54.3  24.00      0  53        1         0
#> 120   24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 67.2  24.00      0  25        0         0
#> 172   24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 33.2  24.00      0  53        0         0
#> 138   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 95.2  24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 7     24.00      0  37        1         0
#> 120.1 24.00      0  68        0         1
#> 22    24.00      0  52        1         0
#> 71    24.00      0  51        0         0
#> 74.1  24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 84    24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 17    24.00      0  38        0         1
#> 11.1  24.00      0  42        0         1
#> 185.1 24.00      0  44        1         0
#> 22.1  24.00      0  52        1         0
#> 98    24.00      0  34        1         0
#> 198.1 24.00      0  66        0         1
#> 115   24.00      0  NA        1         0
#> 118   24.00      0  44        1         0
#> 17.1  24.00      0  38        0         1
#> 148.1 24.00      0  61        1         0
#> 146   24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 141.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.930         NA        NA      NA
#> 2 age, Cure model           0.0258        NA        NA      NA
#> 3 grade_ii, Cure model     -0.309         NA        NA      NA
#> 4 grade_iii, Cure model    -0.126         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0127        NA        NA      NA
#> 2 grade_ii, Survival model    0.259         NA        NA      NA
#> 3 grade_iii, Survival model   0.352         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93041           0.02584          -0.30927          -0.12589  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93041199       0.02583984      -0.30926814      -0.12588558 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01271082       0.25884702       0.35170598 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0449822472 0.3016787034 0.1631012675 0.1231355457 0.1387271412
#>   [6] 0.1803764954 0.1803764954 0.2061483721 0.0504946343 0.4816954163
#>  [11] 0.0351839586 0.6393749943 0.2061483721 0.7170217974 0.6647706169
#>  [16] 0.7844851363 0.9404134357 0.1803764954 0.3737786935 0.3737786935
#>  [21] 0.1387271412 0.5284797562 0.8825241092 0.1631012675 0.8825241092
#>  [26] 0.3420287662 0.0351839586 0.4366008824 0.0087848959 0.0562995753
#>  [31] 0.1078925597 0.1005512448 0.0121670987 0.5645942183 0.2721483452
#>  [36] 0.3737786935 0.0002453623 0.7844851363 0.9849944530 0.9552230576
#>  [41] 0.2721483452 0.2721483452 0.1154694464 0.0562995753 0.7707022805
#>  [46] 0.4478342067 0.3216736467 0.5049592490 0.6266680284 0.3737786935
#>  [51] 0.6907600246 0.5891441658 0.4702500579 0.2061483721 0.0026829788
#>  [56] 0.6907600246 0.6016421037 0.2623441535 0.0026829788 0.9700693116
#>  [61] 0.3525336580 0.0562995753 0.6393749943 0.0865107051 0.0261543155
#>  [66] 0.0220342874 0.3631254494 0.0012410139 0.0934657372 0.8682110740
#>  [71] 0.4932656463 0.3216736467 0.7303336090 0.5049592490 0.1231355457
#>  [76] 0.5284797562 0.2433027110 0.7303336090 0.0305164481 0.7844851363
#>  [81] 0.3737786935 0.0121670987 0.5645942183 0.9256950058 0.0121670987
#>  [86] 0.2336596557 0.0026829788 0.6016421037 0.7303336090 0.3016787034
#>  [91] 0.2433027110 0.8258571748 0.8399439013 0.1387271412 0.6776887585
#>  [96] 0.3737786935 0.8825241092 0.0796809364 0.0562995753 0.5284797562
#> [101] 0.8399439013 0.4478342067 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000
#> 
#> $Time
#>    66   117     8    58   179   108 108.1    51   197    29   169    14  51.1 
#> 22.13 17.46 18.43 19.34 18.63 18.29 18.29 18.23 21.60 15.45 22.41 12.89 18.23 
#>    42   140   107    77 108.2   192    85 179.1   133   183   8.1 183.1    23 
#> 12.43 12.68 11.18  7.27 18.29 16.44 16.44 18.63 14.65  9.24 18.43  9.24 16.92 
#> 169.1     5   164   139   166   158   129    57   110  85.1    24 107.1   127 
#> 22.41 16.43 23.60 21.49 19.98 20.14 23.41 14.46 17.56 16.44 23.89 11.18  3.53 
#>    25 110.1 110.2   170 139.1    43   188    45   180   123  85.2    37    81 
#>  6.32 17.56 17.56 19.54 21.49 12.10 16.16 17.42 14.82 13.00 16.44 12.52 14.06 
#>   167  51.2   168  37.1   155   134 168.1    91   130 139.2  14.1    36   113 
#> 15.55 18.23 23.72 12.52 13.08 17.81 23.72  5.33 16.47 21.49 12.89 21.19 22.86 
#>    92   181    86    90    93   157  45.1    56 180.1  58.1 133.1    40  56.1 
#> 22.92 16.46 23.81 20.94 10.33 15.10 17.42 12.21 14.82 19.34 14.65 18.00 12.21 
#>    15 107.2  85.3 129.1  57.1    16 129.2    41 168.2 155.1  56.2 117.1  40.1 
#> 22.68 11.18 16.44 23.41 14.46  8.71 23.41 18.02 23.72 13.08 12.21 17.46 18.00 
#>   159    10 179.2   177  85.4 183.2   153 139.3 133.2  10.1 188.1    53   126 
#> 10.55 10.53 18.63 12.53 16.44  9.24 21.33 21.49 14.65 10.53 16.16 24.00 24.00 
#>    54  54.1    38   144     3   109   152   141   131    72    44   196   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   198    80   102   121  54.2  33.1    19    35   148    28    83    74 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21   165 151.1   143    67  53.1   185    48    34  83.1 102.1   116  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 102.2   142  80.1    64    95 151.2   161    65  95.1  21.1   176  54.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    75  67.2   172 193.1   191  33.2   138   173  95.2   137     7 120.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    71  74.1   112    84    11    17  11.1 185.1  22.1    98 198.1   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  17.1 148.1   146   104 141.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[45]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01253918                0.44961152                0.16892044 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.120293834             0.003329483            -0.196436723 
#>   grade_iii, Cure model 
#>             0.527689509 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 128   20.35      1  35        0         1
#> 130   16.47      1  53        0         1
#> 10    10.53      1  34        0         0
#> 10.1  10.53      1  34        0         0
#> 190   20.81      1  42        1         0
#> 29    15.45      1  68        1         0
#> 184   17.77      1  38        0         0
#> 140   12.68      1  59        1         0
#> 26    15.77      1  49        0         1
#> 29.1  15.45      1  68        1         0
#> 187    9.92      1  39        1         0
#> 184.1 17.77      1  38        0         0
#> 154   12.63      1  20        1         0
#> 192   16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 76    19.22      1  54        0         1
#> 110   17.56      1  65        0         1
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 42    12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 13    14.34      1  54        0         1
#> 76.1  19.22      1  54        0         1
#> 155   13.08      1  26        0         0
#> 177   12.53      1  75        0         0
#> 167   15.55      1  56        1         0
#> 169   22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 76.2  19.22      1  54        0         1
#> 14    12.89      1  21        0         0
#> 76.3  19.22      1  54        0         1
#> 136.1 21.83      1  43        0         1
#> 14.1  12.89      1  21        0         0
#> 18    15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 100   16.07      1  60        0         0
#> 123   13.00      1  44        1         0
#> 133   14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 24    23.89      1  38        0         0
#> 55    19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 25     6.32      1  34        1         0
#> 41    18.02      1  40        1         0
#> 179   18.63      1  42        0         0
#> 4     17.64      1  NA        0         1
#> 18.1  15.21      1  49        1         0
#> 97    19.14      1  65        0         1
#> 45.1  17.42      1  54        0         1
#> 56    12.21      1  60        0         0
#> 128.1 20.35      1  35        0         1
#> 110.1 17.56      1  65        0         1
#> 169.1 22.41      1  46        0         0
#> 111   17.45      1  47        0         1
#> 15    22.68      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 91     5.33      1  61        0         1
#> 197.1 21.60      1  69        1         0
#> 68    20.62      1  44        0         0
#> 133.1 14.65      1  57        0         0
#> 77     7.27      1  67        0         1
#> 192.1 16.44      1  31        1         0
#> 93.1  10.33      1  52        0         1
#> 51    18.23      1  83        0         1
#> 26.1  15.77      1  49        0         1
#> 79    16.23      1  54        1         0
#> 164   23.60      1  76        0         1
#> 15.1  22.68      1  48        0         0
#> 175   21.91      1  43        0         0
#> 59    10.16      1  NA        1         0
#> 5.1   16.43      1  51        0         1
#> 127    3.53      1  62        0         1
#> 171   16.57      1  41        0         1
#> 10.2  10.53      1  34        0         0
#> 55.1  19.34      1  69        0         1
#> 130.2 16.47      1  53        0         1
#> 24.1  23.89      1  38        0         0
#> 15.2  22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 133.2 14.65      1  57        0         0
#> 69    23.23      1  25        0         1
#> 70     7.38      1  30        1         0
#> 155.1 13.08      1  26        0         0
#> 158   20.14      1  74        1         0
#> 45.2  17.42      1  54        0         1
#> 170   19.54      1  43        0         1
#> 70.1   7.38      1  30        1         0
#> 92    22.92      1  47        0         1
#> 171.1 16.57      1  41        0         1
#> 55.2  19.34      1  69        0         1
#> 192.2 16.44      1  31        1         0
#> 88    18.37      1  47        0         0
#> 164.1 23.60      1  76        0         1
#> 52    10.42      1  52        0         1
#> 100.1 16.07      1  60        0         0
#> 60    13.15      1  38        1         0
#> 32    20.90      1  37        1         0
#> 68.1  20.62      1  44        0         0
#> 10.3  10.53      1  34        0         0
#> 97.1  19.14      1  65        0         1
#> 114   13.68      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 180   14.82      1  37        0         0
#> 179.1 18.63      1  42        0         0
#> 85    16.44      1  36        0         0
#> 133.3 14.65      1  57        0         0
#> 59.1  10.16      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 171.2 16.57      1  41        0         1
#> 82    24.00      0  34        0         0
#> 118   24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 72    24.00      0  40        0         1
#> 137   24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 174   24.00      0  49        1         0
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 95    24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 71    24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 53    24.00      0  32        0         1
#> 35.1  24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 94.1  24.00      0  51        0         1
#> 53.1  24.00      0  32        0         1
#> 172   24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 120   24.00      0  68        0         1
#> 116.1 24.00      0  58        0         1
#> 104   24.00      0  50        1         0
#> 119   24.00      0  17        0         0
#> 17    24.00      0  38        0         1
#> 186.1 24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 162   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 94.2  24.00      0  51        0         1
#> 162.1 24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 186.2 24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 44    24.00      0  56        0         0
#> 48    24.00      0  31        1         0
#> 144.1 24.00      0  28        0         1
#> 137.1 24.00      0  45        1         0
#> 53.2  24.00      0  32        0         1
#> 83    24.00      0   6        0         0
#> 103   24.00      0  56        1         0
#> 84.1  24.00      0  39        0         1
#> 156   24.00      0  50        1         0
#> 98    24.00      0  34        1         0
#> 72.1  24.00      0  40        0         1
#> 156.1 24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 146   24.00      0  63        1         0
#> 62    24.00      0  71        0         0
#> 147   24.00      0  76        1         0
#> 64    24.00      0  43        0         0
#> 64.1  24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 144.2 24.00      0  28        0         1
#> 142.1 24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 173   24.00      0  19        0         1
#> 27    24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 62.1  24.00      0  71        0         0
#> 80    24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 11    24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 94.3  24.00      0  51        0         1
#> 161.1 24.00      0  45        0         0
#> 119.2 24.00      0  17        0         0
#> 141   24.00      0  44        1         0
#> 27.1  24.00      0  63        1         0
#> 186.3 24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 22    24.00      0  52        1         0
#> 80.1  24.00      0  41        0         0
#> 65.1  24.00      0  57        1         0
#> 95.1  24.00      0  68        0         1
#> 21.1  24.00      0  47        0         0
#> 131.1 24.00      0  66        0         0
#> 152.1 24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 62.2  24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.120          NA        NA      NA
#> 2 age, Cure model          0.00333        NA        NA      NA
#> 3 grade_ii, Cure model    -0.196          NA        NA      NA
#> 4 grade_iii, Cure model    0.528          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0125        NA        NA      NA
#> 2 grade_ii, Survival model    0.450         NA        NA      NA
#> 3 grade_iii, Survival model   0.169         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.120294          0.003329         -0.196437          0.527690  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    266.1 
#> Residual Deviance: 261.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.120293834      0.003329483     -0.196436723      0.527689509 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01253918       0.44961152       0.16892044 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.087737751 0.337106956 0.795351060 0.795351060 0.069890487 0.497709728
#>   [7] 0.222216493 0.729959997 0.463708926 0.497709728 0.903129672 0.222216493
#>  [13] 0.742940494 0.368158924 0.409171503 0.134054919 0.240178077 0.640851216
#>  [19] 0.337106956 0.768938369 0.042658954 0.628279916 0.134054919 0.666172706
#>  [25] 0.755871302 0.486246988 0.028495330 0.277994967 0.134054919 0.704343548
#>  [31] 0.134054919 0.042658954 0.704343548 0.520718861 0.615808047 0.441558037
#>  [37] 0.691525670 0.567621288 0.007676219 0.000606319 0.113402052 0.052999317
#>  [43] 0.958140015 0.213325009 0.179191821 0.520718861 0.163193144 0.277994967
#>  [49] 0.782085759 0.087737751 0.240178077 0.028495330 0.268340037 0.017463491
#>  [55] 0.861937337 0.972003578 0.052999317 0.075737581 0.567621288 0.944271730
#>  [61] 0.368158924 0.861937337 0.204452300 0.463708926 0.430633687 0.003034544
#>  [67] 0.017463491 0.037546635 0.409171503 0.985956492 0.307135137 0.795351060
#>  [73] 0.113402052 0.337106956 0.000606319 0.017463491 0.258802908 0.567621288
#>  [79] 0.010759442 0.916933691 0.666172706 0.100141377 0.277994967 0.106707932
#>  [85] 0.916933691 0.013972422 0.307135137 0.113402052 0.368158924 0.195798127
#>  [91] 0.003034544 0.848295989 0.441558037 0.653508705 0.064079697 0.075737581
#>  [97] 0.795351060 0.163193144 0.889333808 0.555705424 0.179191821 0.368158924
#> [103] 0.567621288 0.543883663 0.307135137 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000
#> 
#> $Time
#>   128   130    10  10.1   190    29   184   140    26  29.1   187 184.1   154 
#> 20.35 16.47 10.53 10.53 20.81 15.45 17.77 12.68 15.77 15.45  9.92 17.77 12.63 
#>   192     5    76   110    81 130.1    42   136    13  76.1   155   177   167 
#> 16.44 16.43 19.22 17.56 14.06 16.47 12.43 21.83 14.34 19.22 13.08 12.53 15.55 
#>   169    45  76.2    14  76.3 136.1  14.1    18    96   100   123   133   129 
#> 22.41 17.42 19.22 12.89 19.22 21.83 12.89 15.21 14.54 16.07 13.00 14.65 23.41 
#>    24    55   197    25    41   179  18.1    97  45.1    56 128.1 110.1 169.1 
#> 23.89 19.34 21.60  6.32 18.02 18.63 15.21 19.14 17.42 12.21 20.35 17.56 22.41 
#>   111    15    93    91 197.1    68 133.1    77 192.1  93.1    51  26.1    79 
#> 17.45 22.68 10.33  5.33 21.60 20.62 14.65  7.27 16.44 10.33 18.23 15.77 16.23 
#>   164  15.1   175   5.1   127   171  10.2  55.1 130.2  24.1  15.2   117 133.2 
#> 23.60 22.68 21.91 16.43  3.53 16.57 10.53 19.34 16.47 23.89 22.68 17.46 14.65 
#>    69    70 155.1   158  45.2   170  70.1    92 171.1  55.2 192.2    88 164.1 
#> 23.23  7.38 13.08 20.14 17.42 19.54  7.38 22.92 16.57 19.34 16.44 18.37 23.60 
#>    52 100.1    60    32  68.1  10.3  97.1   101   180 179.1    85 133.3   157 
#> 10.42 16.07 13.15 20.90 20.62 10.53 19.14  9.97 14.82 18.63 16.44 14.65 15.10 
#> 171.2    82   118   148    72   137   144   165    12    94    35    21   174 
#> 16.57 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    28    95   186    46    71   182    53  35.1   116  94.1  53.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   120 116.1   104   119    17 186.1    65   162   161  94.2 162.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.2   131    67    44    48 144.1 137.1  53.2    83   103  84.1   156    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 156.1   142   146    62   147    64  64.1   126 144.2 142.1   198   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27 119.1  62.1    80   135    11    47   185  94.3 161.1 119.2   141  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.3 148.1    22  80.1  65.1  95.1  21.1 131.1 152.1   151  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[46]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01567848                1.15737529                0.86512760 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.15023603              0.02305968              0.24223671 
#>   grade_iii, Cure model 
#>              0.66234346 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 36    21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 170   19.54      1  43        0         1
#> 184   17.77      1  38        0         0
#> 45    17.42      1  54        0         1
#> 25     6.32      1  34        1         0
#> 140   12.68      1  59        1         0
#> 90    20.94      1  50        0         1
#> 30    17.43      1  78        0         0
#> 111   17.45      1  47        0         1
#> 91     5.33      1  61        0         1
#> 106   16.67      1  49        1         0
#> 149    8.37      1  33        1         0
#> 168   23.72      1  70        0         0
#> 167   15.55      1  56        1         0
#> 8     18.43      1  32        0         0
#> 97.1  19.14      1  65        0         1
#> 97.2  19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 114   13.68      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 55    19.34      1  69        0         1
#> 189   10.51      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 29    15.45      1  68        1         0
#> 170.1 19.54      1  43        0         1
#> 190   20.81      1  42        1         0
#> 167.1 15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 136   21.83      1  43        0         1
#> 5     16.43      1  51        0         1
#> 101    9.97      1  10        0         1
#> 110   17.56      1  65        0         1
#> 184.1 17.77      1  38        0         0
#> 184.2 17.77      1  38        0         0
#> 187    9.92      1  39        1         0
#> 43    12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 114.1 13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 79    16.23      1  54        1         0
#> 192   16.44      1  31        1         0
#> 43.1  12.10      1  61        0         1
#> 184.3 17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 139.1 21.49      1  63        1         0
#> 60    13.15      1  38        1         0
#> 168.1 23.72      1  70        0         0
#> 52    10.42      1  52        0         1
#> 153   21.33      1  55        1         0
#> 175   21.91      1  43        0         0
#> 93    10.33      1  52        0         1
#> 107   11.18      1  54        1         0
#> 6.1   15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 52.1  10.42      1  52        0         1
#> 51.1  18.23      1  83        0         1
#> 51.2  18.23      1  83        0         1
#> 113   22.86      1  34        0         0
#> 32    20.90      1  37        1         0
#> 8.1   18.43      1  32        0         0
#> 81    14.06      1  34        0         0
#> 81.1  14.06      1  34        0         0
#> 188   16.16      1  46        0         1
#> 187.1  9.92      1  39        1         0
#> 89    11.44      1  NA        0         0
#> 5.1   16.43      1  51        0         1
#> 68    20.62      1  44        0         0
#> 58    19.34      1  39        0         0
#> 136.1 21.83      1  43        0         1
#> 180.1 14.82      1  37        0         0
#> 113.1 22.86      1  34        0         0
#> 197   21.60      1  69        1         0
#> 49    12.19      1  48        1         0
#> 100   16.07      1  60        0         0
#> 15    22.68      1  48        0         0
#> 134   17.81      1  47        1         0
#> 40    18.00      1  28        1         0
#> 117   17.46      1  26        0         1
#> 189.1 10.51      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 10    10.53      1  34        0         0
#> 154   12.63      1  20        1         0
#> 29.1  15.45      1  68        1         0
#> 97.3  19.14      1  65        0         1
#> 6.2   15.64      1  39        0         0
#> 36.1  21.19      1  48        0         1
#> 136.2 21.83      1  43        0         1
#> 41.1  18.02      1  40        1         0
#> 164   23.60      1  76        0         1
#> 110.1 17.56      1  65        0         1
#> 16     8.71      1  71        0         1
#> 97.4  19.14      1  65        0         1
#> 175.1 21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 168.2 23.72      1  70        0         0
#> 68.1  20.62      1  44        0         0
#> 140.1 12.68      1  59        1         0
#> 179   18.63      1  42        0         0
#> 111.1 17.45      1  47        0         1
#> 91.1   5.33      1  61        0         1
#> 30.1  17.43      1  78        0         0
#> 158   20.14      1  74        1         0
#> 181   16.46      1  45        0         1
#> 45.1  17.42      1  54        0         1
#> 15.1  22.68      1  48        0         0
#> 179.1 18.63      1  42        0         0
#> 18    15.21      1  49        1         0
#> 189.2 10.51      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 94    24.00      0  51        0         1
#> 137   24.00      0  45        1         0
#> 178   24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 80    24.00      0  41        0         0
#> 48    24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 178.1 24.00      0  52        1         0
#> 31    24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 72    24.00      0  40        0         1
#> 132   24.00      0  55        0         0
#> 176   24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 112   24.00      0  61        0         0
#> 54    24.00      0  53        1         0
#> 33.1  24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 148   24.00      0  61        1         0
#> 34    24.00      0  36        0         0
#> 33.2  24.00      0  53        0         0
#> 176.1 24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 122   24.00      0  66        0         0
#> 80.1  24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 83.1  24.00      0   6        0         0
#> 54.1  24.00      0  53        1         0
#> 84    24.00      0  39        0         1
#> 48.1  24.00      0  31        1         0
#> 82.1  24.00      0  34        0         0
#> 172.1 24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 95    24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 84.1  24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 160   24.00      0  31        1         0
#> 84.2  24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 95.1  24.00      0  68        0         1
#> 137.2 24.00      0  45        1         0
#> 131   24.00      0  66        0         0
#> 35.1  24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 120   24.00      0  68        0         1
#> 102   24.00      0  49        0         0
#> 131.1 24.00      0  66        0         0
#> 131.2 24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 9.1   24.00      0  31        1         0
#> 178.2 24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 200   24.00      0  64        0         0
#> 11    24.00      0  42        0         1
#> 126   24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 35.2  24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 7     24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 67.1  24.00      0  25        0         0
#> 104   24.00      0  50        1         0
#> 126.1 24.00      0  48        0         0
#> 12    24.00      0  63        0         0
#> 119.1 24.00      0  17        0         0
#> 72.1  24.00      0  40        0         1
#> 196.1 24.00      0  19        0         0
#> 48.2  24.00      0  31        1         0
#> 172.2 24.00      0  41        0         0
#> 148.1 24.00      0  61        1         0
#> 44    24.00      0  56        0         0
#> 64    24.00      0  43        0         0
#> 53    24.00      0  32        0         1
#> 104.1 24.00      0  50        1         0
#> 160.1 24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.15          NA        NA      NA
#> 2 age, Cure model           0.0231        NA        NA      NA
#> 3 grade_ii, Cure model      0.242         NA        NA      NA
#> 4 grade_iii, Cure model     0.662         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0157        NA        NA      NA
#> 2 grade_ii, Survival model    1.16          NA        NA      NA
#> 3 grade_iii, Survival model   0.865         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.15024           0.02306           0.24224           0.66234  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 255.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.15023603       0.02305968       0.24223671       0.66234346 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01567848       1.15737529       0.86512760 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.2798693383 0.0001945046 0.1573618790 0.7621873040 0.2421287279
#>   [6] 0.4381327616 0.5495096166 0.9714184885 0.8132847739 0.1763547562
#>  [11] 0.5288191303 0.5086845561 0.9809659101 0.5701856681 0.9617890185
#>  [16] 0.0030645971 0.7116033817 0.3462694701 0.2798693383 0.2798693383
#>  [21] 0.3667304983 0.6811472089 0.2607761987 0.2324587781 0.7318674958
#>  [26] 0.2421287279 0.1954167392 0.7116033817 0.3979000026 0.0881253613
#>  [31] 0.6208224962 0.9229365893 0.4779787088 0.4381327616 0.4381327616
#>  [36] 0.9327811782 0.8534536559 0.0468939992 0.6007322971 0.6408688250
#>  [41] 0.6007322971 0.8534536559 0.4381327616 0.1277510192 0.1277510192
#>  [46] 0.8030474040 0.0030645971 0.8931720977 0.1474140991 0.0659247989
#>  [51] 0.9129825755 0.8732741269 0.6811472089 0.6710497267 0.8931720977
#>  [56] 0.3667304983 0.3667304983 0.0188068116 0.1860762549 0.3462694701
#>  [61] 0.7825071490 0.7825071490 0.6509139164 0.9327811782 0.6208224962
#>  [66] 0.2044772131 0.2607761987 0.0881253613 0.7621873040 0.0188068116
#>  [71] 0.1171997054 0.8435054832 0.6609350734 0.0311764357 0.4282316880
#>  [76] 0.4182095090 0.4984597485 0.5701856681 0.8831999580 0.8334984180
#>  [81] 0.7318674958 0.2798693383 0.6811472089 0.1573618790 0.0881253613
#>  [86] 0.3979000026 0.0131304730 0.4779787088 0.9520723397 0.2798693383
#>  [91] 0.0659247989 0.0011938100 0.0030645971 0.2044772131 0.8132847739
#>  [96] 0.3262747493 0.5086845561 0.9809659101 0.5288191303 0.2229970056
#> [101] 0.5905112274 0.5495096166 0.0311764357 0.3262747493 0.7520781901
#> [106] 0.0468939992 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [191] 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    97    24    36   180   170   184    45    25   140    90    30   111    91 
#> 19.14 23.89 21.19 14.82 19.54 17.77 17.42  6.32 12.68 20.94 17.43 17.45  5.33 
#>   106   149   168   167     8  97.1  97.2    51     6    55   166    29 170.1 
#> 16.67  8.37 23.72 15.55 18.43 19.14 19.14 18.23 15.64 19.34 19.98 15.45 19.54 
#>   190 167.1    41   136     5   101   110 184.1 184.2   187    43   169    85 
#> 20.81 15.55 18.02 21.83 16.43  9.97 17.56 17.77 17.77  9.92 12.10 22.41 16.44 
#>    79   192  43.1 184.3   139 139.1    60 168.1    52   153   175    93   107 
#> 16.23 16.44 12.10 17.77 21.49 21.49 13.15 23.72 10.42 21.33 21.91 10.33 11.18 
#>   6.1   125  52.1  51.1  51.2   113    32   8.1    81  81.1   188 187.1   5.1 
#> 15.64 15.65 10.42 18.23 18.23 22.86 20.90 18.43 14.06 14.06 16.16  9.92 16.43 
#>    68    58 136.1 180.1 113.1   197    49   100    15   134    40   117 106.1 
#> 20.62 19.34 21.83 14.82 22.86 21.60 12.19 16.07 22.68 17.81 18.00 17.46 16.67 
#>    10   154  29.1  97.3   6.2  36.1 136.2  41.1   164 110.1    16  97.4 175.1 
#> 10.53 12.63 15.45 19.14 15.64 21.19 21.83 18.02 23.60 17.56  8.71 19.14 21.91 
#>    78 168.2  68.1 140.1   179 111.1  91.1  30.1   158   181  45.1  15.1 179.1 
#> 23.88 23.72 20.62 12.68 18.63 17.45  5.33 17.43 20.14 16.46 17.42 22.68 18.63 
#>    18 169.1    94   137   178    82    80    48    33   198 178.1    31   162 
#> 15.21 22.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.1    35    47    83    72   132   176   172   103   112    54  33.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    34  33.2 176.1    67   122  80.1    87  83.1  54.1    84  48.1  82.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1   196    95   135  84.1   160  84.2   161   182  95.1 137.2   131  35.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   120   102 131.1 131.2     9   185   119   9.1 178.2   144   200    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 103.1  35.2 200.1   163   165     7   173  67.1   104 126.1    12 119.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 196.1  48.2 172.2 148.1    44    64    53 104.1 160.1    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[47]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005460897               0.502838028               0.534003378 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.440932197             0.004586378             0.663170171 
#>   grade_iii, Cure model 
#>             1.083919251 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 180   14.82      1  37        0         0
#> 157   15.10      1  47        0         0
#> 69    23.23      1  25        0         1
#> 78    23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 128   20.35      1  35        0         1
#> 63    22.77      1  31        1         0
#> 68    20.62      1  44        0         0
#> 159   10.55      1  50        0         1
#> 153   21.33      1  55        1         0
#> 130   16.47      1  53        0         1
#> 184   17.77      1  38        0         0
#> 166   19.98      1  48        0         0
#> 179   18.63      1  42        0         0
#> 5     16.43      1  51        0         1
#> 4     17.64      1  NA        0         1
#> 57    14.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 76    19.22      1  54        0         1
#> 13    14.34      1  54        0         1
#> 170   19.54      1  43        0         1
#> 58    19.34      1  39        0         0
#> 140   12.68      1  59        1         0
#> 77     7.27      1  67        0         1
#> 113   22.86      1  34        0         0
#> 133   14.65      1  57        0         0
#> 197   21.60      1  69        1         0
#> 89    11.44      1  NA        0         0
#> 180.1 14.82      1  37        0         0
#> 153.1 21.33      1  55        1         0
#> 106   16.67      1  49        1         0
#> 187    9.92      1  39        1         0
#> 169   22.41      1  46        0         0
#> 167   15.55      1  56        1         0
#> 66.1  22.13      1  53        0         0
#> 167.1 15.55      1  56        1         0
#> 49    12.19      1  48        1         0
#> 168   23.72      1  70        0         0
#> 66.2  22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 171   16.57      1  41        0         1
#> 190   20.81      1  42        1         0
#> 55    19.34      1  69        0         1
#> 14    12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 187.1  9.92      1  39        1         0
#> 10    10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 171.1 16.57      1  41        0         1
#> 29    15.45      1  68        1         0
#> 190.1 20.81      1  42        1         0
#> 85.1  16.44      1  36        0         0
#> 125.1 15.65      1  67        1         0
#> 117   17.46      1  26        0         1
#> 56    12.21      1  60        0         0
#> 108   18.29      1  39        0         1
#> 49.1  12.19      1  48        1         0
#> 159.1 10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 110   17.56      1  65        0         1
#> 134   17.81      1  47        1         0
#> 57.1  14.46      1  45        0         1
#> 192   16.44      1  31        1         0
#> 127    3.53      1  62        0         1
#> 18    15.21      1  49        1         0
#> 194   22.40      1  38        0         1
#> 69.1  23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 66.3  22.13      1  53        0         0
#> 23    16.92      1  61        0         0
#> 39    15.59      1  37        0         1
#> 78.1  23.88      1  43        0         0
#> 180.2 14.82      1  37        0         0
#> 37    12.52      1  57        1         0
#> 159.2 10.55      1  50        0         1
#> 10.1  10.53      1  34        0         0
#> 40    18.00      1  28        1         0
#> 56.1  12.21      1  60        0         0
#> 180.3 14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 123   13.00      1  44        1         0
#> 194.1 22.40      1  38        0         1
#> 4.1   17.64      1  NA        0         1
#> 96    14.54      1  33        0         1
#> 63.1  22.77      1  31        1         0
#> 149.1  8.37      1  33        1         0
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 32    20.90      1  37        1         0
#> 26    15.77      1  49        0         1
#> 100   16.07      1  60        0         0
#> 108.1 18.29      1  39        0         1
#> 184.1 17.77      1  38        0         0
#> 61    10.12      1  36        0         1
#> 154   12.63      1  20        1         0
#> 171.2 16.57      1  41        0         1
#> 36.1  21.19      1  48        0         1
#> 4.2   17.64      1  NA        0         1
#> 96.1  14.54      1  33        0         1
#> 66.4  22.13      1  53        0         0
#> 50    10.02      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 167.2 15.55      1  56        1         0
#> 113.1 22.86      1  34        0         0
#> 107   11.18      1  54        1         0
#> 129   23.41      1  53        1         0
#> 16     8.71      1  71        0         1
#> 154.1 12.63      1  20        1         0
#> 158   20.14      1  74        1         0
#> 85.2  16.44      1  36        0         0
#> 166.1 19.98      1  48        0         0
#> 159.3 10.55      1  50        0         1
#> 142   24.00      0  53        0         0
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 112   24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 75    24.00      0  21        1         0
#> 147   24.00      0  76        1         0
#> 141   24.00      0  44        1         0
#> 75.1  24.00      0  21        1         0
#> 87    24.00      0  27        0         0
#> 115   24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 46    24.00      0  71        0         0
#> 115.1 24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 75.2  24.00      0  21        1         0
#> 64    24.00      0  43        0         0
#> 82    24.00      0  34        0         0
#> 17    24.00      0  38        0         1
#> 64.1  24.00      0  43        0         0
#> 142.1 24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 12    24.00      0  63        0         0
#> 62.1  24.00      0  71        0         0
#> 115.2 24.00      0  NA        1         0
#> 173   24.00      0  19        0         1
#> 151   24.00      0  42        0         0
#> 84    24.00      0  39        0         1
#> 182   24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 173.1 24.00      0  19        0         1
#> 119   24.00      0  17        0         0
#> 198   24.00      0  66        0         1
#> 174.1 24.00      0  49        1         0
#> 44    24.00      0  56        0         0
#> 160   24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 87.1  24.00      0  27        0         0
#> 119.1 24.00      0  17        0         0
#> 73    24.00      0  NA        0         1
#> 162   24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 62.2  24.00      0  71        0         0
#> 152   24.00      0  36        0         1
#> 191   24.00      0  60        0         1
#> 200.1 24.00      0  64        0         0
#> 141.1 24.00      0  44        1         0
#> 119.2 24.00      0  17        0         0
#> 135   24.00      0  58        1         0
#> 115.3 24.00      0  NA        1         0
#> 109   24.00      0  48        0         0
#> 112.1 24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 173.2 24.00      0  19        0         1
#> 48    24.00      0  31        1         0
#> 147.1 24.00      0  76        1         0
#> 160.1 24.00      0  31        1         0
#> 28.1  24.00      0  67        1         0
#> 173.3 24.00      0  19        0         1
#> 73.1  24.00      0  NA        0         1
#> 95    24.00      0  68        0         1
#> 141.2 24.00      0  44        1         0
#> 142.2 24.00      0  53        0         0
#> 151.1 24.00      0  42        0         0
#> 142.3 24.00      0  53        0         0
#> 196.1 24.00      0  19        0         0
#> 67.1  24.00      0  25        0         0
#> 17.1  24.00      0  38        0         1
#> 173.4 24.00      0  19        0         1
#> 3.1   24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 35    24.00      0  51        0         0
#> 72    24.00      0  40        0         1
#> 94    24.00      0  51        0         1
#> 135.1 24.00      0  58        1         0
#> 103   24.00      0  56        1         0
#> 82.1  24.00      0  34        0         0
#> 122.2 24.00      0  66        0         0
#> 126   24.00      0  48        0         0
#> 80    24.00      0  41        0         0
#> 35.1  24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.441          NA        NA      NA
#> 2 age, Cure model          0.00459        NA        NA      NA
#> 3 grade_ii, Cure model     0.663          NA        NA      NA
#> 4 grade_iii, Cure model    1.08           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00546        NA        NA      NA
#> 2 grade_ii, Survival model   0.503          NA        NA      NA
#> 3 grade_iii, Survival model  0.534          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.440932          0.004586          0.663170          1.083919  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    257.6 
#> Residual Deviance: 248.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.440932197      0.004586378      0.663170171      1.083919251 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005460897      0.502838028      0.534003378 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.78767983 0.78143948 0.17049211 0.05123669 0.31908927 0.48529375
#>   [7] 0.24375335 0.47558114 0.92198152 0.39250045 0.67445433 0.60659082
#>  [13] 0.50405112 0.56583642 0.70930659 0.83046871 0.41526362 0.55734872
#>  [19] 0.84238077 0.53126130 0.54016744 0.86585187 0.98990904 0.20777112
#>  [25] 0.81217446 0.38004548 0.78767983 0.39250045 0.64539896 0.96421475
#>  [31] 0.27528882 0.74986708 0.31908927 0.74986708 0.90549287 0.11297541
#>  [37] 0.31908927 0.97973257 0.65293658 0.45624818 0.54016744 0.86002047
#>  [43] 0.73000211 0.96421475 0.94309116 0.68160630 0.65293658 0.76887043
#>  [49] 0.45624818 0.68160630 0.73000211 0.63008021 0.89432873 0.57429143
#>  [55] 0.90549287 0.92198152 0.95895966 0.62231121 0.59863115 0.83046871
#>  [61] 0.68160630 0.99497234 0.77518453 0.29126705 0.17049211 0.52217897
#>  [67] 0.31908927 0.63775777 0.74326841 0.05123669 0.78767983 0.88303076
#>  [73] 0.92198152 0.94309116 0.59054929 0.89432873 0.78767983 0.41526362
#>  [79] 0.85418426 0.29126705 0.81835141 0.24375335 0.97973257 0.84830376
#>  [85] 0.44600339 0.72316584 0.71624921 0.57429143 0.60659082 0.95368139
#>  [91] 0.87163335 0.65293658 0.41526362 0.81835141 0.31908927 0.88870181
#>  [97] 0.74986708 0.20777112 0.91650108 0.14510909 0.97457845 0.87163335
#> [103] 0.49480366 0.68160630 0.50405112 0.92198152 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>   180   157    69    78    66   128    63    68   159   153   130   184   166 
#> 14.82 15.10 23.23 23.88 22.13 20.35 22.77 20.62 10.55 21.33 16.47 17.77 19.98 
#>   179     5    57    36    76    13   170    58   140    77   113   133   197 
#> 18.63 16.43 14.46 21.19 19.22 14.34 19.54 19.34 12.68  7.27 22.86 14.65 21.60 
#> 180.1 153.1   106   187   169   167  66.1 167.1    49   168  66.2   149   171 
#> 14.82 21.33 16.67  9.92 22.41 15.55 22.13 15.55 12.19 23.72 22.13  8.37 16.57 
#>   190    55    14   125 187.1    10    85 171.1    29 190.1  85.1 125.1   117 
#> 20.81 19.34 12.89 15.65  9.92 10.53 16.44 16.57 15.45 20.81 16.44 15.65 17.46 
#>    56   108  49.1 159.1   101   110   134  57.1   192   127    18   194  69.1 
#> 12.21 18.29 12.19 10.55  9.97 17.56 17.81 14.46 16.44  3.53 15.21 22.40 23.23 
#>   105  66.3    23    39  78.1 180.2    37 159.2  10.1    40  56.1 180.3    99 
#> 19.75 22.13 16.92 15.59 23.88 14.82 12.52 10.55 10.53 18.00 12.21 14.82 21.19 
#>   123 194.1    96  63.1 149.1    60    32    26   100 108.1 184.1    61   154 
#> 13.00 22.40 14.54 22.77  8.37 13.15 20.90 15.77 16.07 18.29 17.77 10.12 12.63 
#> 171.2  36.1  96.1  66.4    42 167.2 113.1   107   129    16 154.1   158  85.2 
#> 16.57 21.19 14.54 22.13 12.43 15.55 22.86 11.18 23.41  8.71 12.63 20.14 16.44 
#> 166.1 159.3   142   196    62   112     3   122   174    75   147   141  75.1 
#> 19.98 10.55 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   131    74    46   156   200  75.2    64    82    17  64.1 142.1   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    67    12  62.1   173   151    84   182   172 173.1   119   198 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   160 122.1  87.1 119.1   162    65  62.2   152   191 200.1 141.1 119.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135   109 112.1   102 173.2    48 147.1 160.1  28.1 173.3    95 141.2 142.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 151.1 142.3 196.1  67.1  17.1 173.4   3.1 172.1    35    72    94 135.1   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1 122.2   126    80  35.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[48]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001010466               0.322881433               0.497859379 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.198218011            -0.001598608             0.498200661 
#>   grade_iii, Cure model 
#>             0.866675272 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 32    20.90      1  37        1         0
#> 167   15.55      1  56        1         0
#> 194   22.40      1  38        0         1
#> 41    18.02      1  40        1         0
#> 81    14.06      1  34        0         0
#> 45    17.42      1  54        0         1
#> 114   13.68      1  NA        0         0
#> 16     8.71      1  71        0         1
#> 189   10.51      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 89    11.44      1  NA        0         0
#> 41.1  18.02      1  40        1         0
#> 183    9.24      1  67        1         0
#> 140   12.68      1  59        1         0
#> 10    10.53      1  34        0         0
#> 184   17.77      1  38        0         0
#> 30    17.43      1  78        0         0
#> 88    18.37      1  47        0         0
#> 194.1 22.40      1  38        0         1
#> 170   19.54      1  43        0         1
#> 76    19.22      1  54        0         1
#> 43    12.10      1  61        0         1
#> 29    15.45      1  68        1         0
#> 68    20.62      1  44        0         0
#> 5     16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 43.1  12.10      1  61        0         1
#> 63    22.77      1  31        1         0
#> 58    19.34      1  39        0         0
#> 40    18.00      1  28        1         0
#> 32.1  20.90      1  37        1         0
#> 24    23.89      1  38        0         0
#> 81.1  14.06      1  34        0         0
#> 43.2  12.10      1  61        0         1
#> 52    10.42      1  52        0         1
#> 97    19.14      1  65        0         1
#> 133   14.65      1  57        0         0
#> 26    15.77      1  49        0         1
#> 15    22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 6     15.64      1  39        0         0
#> 86    23.81      1  58        0         1
#> 90    20.94      1  50        0         1
#> 101    9.97      1  10        0         1
#> 128   20.35      1  35        0         1
#> 114.1 13.68      1  NA        0         0
#> 45.1  17.42      1  54        0         1
#> 166   19.98      1  48        0         0
#> 101.1  9.97      1  10        0         1
#> 50    10.02      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 69    23.23      1  25        0         1
#> 114.2 13.68      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 51    18.23      1  83        0         1
#> 6.1   15.64      1  39        0         0
#> 197   21.60      1  69        1         0
#> 79    16.23      1  54        1         0
#> 149    8.37      1  33        1         0
#> 129   23.41      1  53        1         0
#> 24.1  23.89      1  38        0         0
#> 129.1 23.41      1  53        1         0
#> 96    14.54      1  33        0         1
#> 40.1  18.00      1  28        1         0
#> 140.1 12.68      1  59        1         0
#> 149.1  8.37      1  33        1         0
#> 181   16.46      1  45        0         1
#> 154   12.63      1  20        1         0
#> 5.1   16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 58.1  19.34      1  39        0         0
#> 157   15.10      1  47        0         0
#> 189.1 10.51      1  NA        1         0
#> 155   13.08      1  26        0         0
#> 113   22.86      1  34        0         0
#> 127    3.53      1  62        0         1
#> 99    21.19      1  38        0         1
#> 150   20.33      1  48        0         0
#> 197.1 21.60      1  69        1         0
#> 39    15.59      1  37        0         1
#> 69.1  23.23      1  25        0         1
#> 110   17.56      1  65        0         1
#> 24.2  23.89      1  38        0         0
#> 52.1  10.42      1  52        0         1
#> 40.2  18.00      1  28        1         0
#> 25     6.32      1  34        1         0
#> 15.1  22.68      1  48        0         0
#> 29.1  15.45      1  68        1         0
#> 59    10.16      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 166.1 19.98      1  48        0         0
#> 139   21.49      1  63        1         0
#> 123   13.00      1  44        1         0
#> 139.1 21.49      1  63        1         0
#> 96.1  14.54      1  33        0         1
#> 154.1 12.63      1  20        1         0
#> 10.1  10.53      1  34        0         0
#> 189.2 10.51      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 43.3  12.10      1  61        0         1
#> 139.2 21.49      1  63        1         0
#> 129.2 23.41      1  53        1         0
#> 107   11.18      1  54        1         0
#> 66    22.13      1  53        0         0
#> 197.2 21.60      1  69        1         0
#> 149.2  8.37      1  33        1         0
#> 26.1  15.77      1  49        0         1
#> 166.2 19.98      1  48        0         0
#> 199   19.81      1  NA        0         1
#> 108   18.29      1  39        0         1
#> 110.1 17.56      1  65        0         1
#> 68.1  20.62      1  44        0         0
#> 28    24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 11    24.00      0  42        0         1
#> 11.1  24.00      0  42        0         1
#> 142.1 24.00      0  53        0         0
#> 119   24.00      0  17        0         0
#> 72    24.00      0  40        0         1
#> 27    24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 142.2 24.00      0  53        0         0
#> 165   24.00      0  47        0         0
#> 176   24.00      0  43        0         1
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 146   24.00      0  63        1         0
#> 28.1  24.00      0  67        1         0
#> 74    24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 186   24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 152   24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 135   24.00      0  58        1         0
#> 146.1 24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 200   24.00      0  64        0         0
#> 121   24.00      0  57        1         0
#> 9.1   24.00      0  31        1         0
#> 142.3 24.00      0  53        0         0
#> 131   24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 116   24.00      0  58        0         1
#> 146.2 24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 198.1 24.00      0  66        0         1
#> 103   24.00      0  56        1         0
#> 72.1  24.00      0  40        0         1
#> 27.1  24.00      0  63        1         0
#> 152.1 24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 193   24.00      0  45        0         1
#> 87    24.00      0  27        0         0
#> 80.1  24.00      0  41        0         0
#> 165.1 24.00      0  47        0         0
#> 12.1  24.00      0  63        0         0
#> 9.2   24.00      0  31        1         0
#> 142.4 24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 11.2  24.00      0  42        0         1
#> 19    24.00      0  57        0         1
#> 193.1 24.00      0  45        0         1
#> 165.2 24.00      0  47        0         0
#> 74.1  24.00      0  43        0         1
#> 3     24.00      0  31        1         0
#> 119.2 24.00      0  17        0         0
#> 138   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 20.1  24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 73    24.00      0  NA        0         1
#> 20.2  24.00      0  46        1         0
#> 160   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 12.2  24.00      0  63        0         0
#> 21    24.00      0  47        0         0
#> 163.1 24.00      0  66        0         0
#> 75    24.00      0  21        1         0
#> 21.1  24.00      0  47        0         0
#> 142.5 24.00      0  53        0         0
#> 35    24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 119.3 24.00      0  17        0         0
#> 102   24.00      0  49        0         0
#> 186.1 24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 102.1 24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.198          NA        NA      NA
#> 2 age, Cure model         -0.00160        NA        NA      NA
#> 3 grade_ii, Cure model     0.498          NA        NA      NA
#> 4 grade_iii, Cure model    0.867          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00101        NA        NA      NA
#> 2 grade_ii, Survival model   0.323          NA        NA      NA
#> 3 grade_iii, Survival model  0.498          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.198218         -0.001599          0.498201          0.866675  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 255 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.198218011     -0.001598608      0.498200661      0.866675272 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001010466      0.322881433      0.497859379 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.36240646 0.74652569 0.23877446 0.52875945 0.80751946 0.62533512
#>   [7] 0.95204982 0.60811783 0.52875945 0.94506004 0.83754872 0.90268694
#>  [13] 0.57316389 0.61673140 0.50061222 0.23877446 0.45219831 0.48143428
#>  [19] 0.86706762 0.75428597 0.38264357 0.66715818 0.76957665 0.86706762
#>  [25] 0.19886991 0.46202419 0.54682900 0.36240646 0.03543833 0.80751946
#>  [31] 0.86706762 0.91696562 0.49109409 0.78487148 0.69951064 0.21251611
#>  [37] 0.64208664 0.72309880 0.09277008 0.35188423 0.93108296 0.40283240
#>  [43] 0.62533512 0.42290949 0.93108296 0.71523464 0.15770387 0.98637683
#>  [49] 0.51950645 0.72309880 0.27558030 0.68336423 0.95900043 0.11395502
#>  [55] 0.03543833 0.11395502 0.79251265 0.54682900 0.83754872 0.95900043
#>  [61] 0.65051072 0.85236047 0.66715818 0.65885680 0.46202419 0.77722589
#>  [67] 0.82251654 0.18481432 0.99320597 0.34112708 0.41287701 0.27558030
#>  [73] 0.73872801 0.15770387 0.59083645 0.03543833 0.91696562 0.54682900
#>  [79] 0.97951205 0.21251611 0.75428597 0.57316389 0.42290949 0.30917046
#>  [85] 0.83004773 0.30917046 0.79251265 0.85236047 0.90268694 0.69147153
#>  [91] 0.86706762 0.30917046 0.11395502 0.89551516 0.26313606 0.27558030
#>  [97] 0.95900043 0.69951064 0.42290949 0.51012155 0.59083645 0.38264357
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    32   167   194    41    81    45    16   111  41.1   183   140    10   184 
#> 20.90 15.55 22.40 18.02 14.06 17.42  8.71 17.45 18.02  9.24 12.68 10.53 17.77 
#>    30    88 194.1   170    76    43    29    68     5    18  43.1    63    58 
#> 17.43 18.37 22.40 19.54 19.22 12.10 15.45 20.62 16.43 15.21 12.10 22.77 19.34 
#>    40  32.1    24  81.1  43.2    52    97   133    26    15    23     6    86 
#> 18.00 20.90 23.89 14.06 12.10 10.42 19.14 14.65 15.77 22.68 16.92 15.64 23.81 
#>    90   101   128  45.1   166 101.1   125    69    91    51   6.1   197    79 
#> 20.94  9.97 20.35 17.42 19.98  9.97 15.65 23.23  5.33 18.23 15.64 21.60 16.23 
#>   149   129  24.1 129.1    96  40.1 140.1 149.1   181   154   5.1   192  58.1 
#>  8.37 23.41 23.89 23.41 14.54 18.00 12.68  8.37 16.46 12.63 16.43 16.44 19.34 
#>   157   155   113   127    99   150 197.1    39  69.1   110  24.2  52.1  40.2 
#> 15.10 13.08 22.86  3.53 21.19 20.33 21.60 15.59 23.23 17.56 23.89 10.42 18.00 
#>    25  15.1  29.1 184.1 166.1   139   123 139.1  96.1 154.1  10.1   188  43.3 
#>  6.32 22.68 15.45 17.77 19.98 21.49 13.00 21.49 14.54 12.63 10.53 16.16 12.10 
#> 139.2 129.2   107    66 197.2 149.2  26.1 166.2   108 110.1  68.1    28   142 
#> 21.49 23.41 11.18 22.13 21.60  8.37 15.77 19.98 18.29 17.56 20.62 24.00 24.00 
#>   172   132   141    67    11  11.1 142.1   119    72    27 119.1 142.2   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   151     9   198   146  28.1    74    12   186   104   152    17    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   135 146.1    47    33    62   200   121   9.1 142.3   131    44   116 146.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80 198.1   103  72.1  27.1 152.1    53   193    87  80.1 165.1  12.1   9.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 142.4  17.1  11.2    19 193.1 165.2  74.1     3 119.2   138    20  20.1    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   163  20.2   160    83  12.2    21 163.1    75  21.1 142.5    35     7 119.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102 186.1   137 116.1 102.1    65   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[49]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004314238               0.162456994               0.243604340 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.32946502              0.02414302              0.17559326 
#>   grade_iii, Cure model 
#>              0.86595371 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 8     18.43      1  32        0         0
#> 130   16.47      1  53        0         1
#> 105   19.75      1  60        0         0
#> 133   14.65      1  57        0         0
#> 59    10.16      1  NA        1         0
#> 79    16.23      1  54        1         0
#> 41    18.02      1  40        1         0
#> 57    14.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 76    19.22      1  54        0         1
#> 45    17.42      1  54        0         1
#> 49    12.19      1  48        1         0
#> 181   16.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 155   13.08      1  26        0         0
#> 51    18.23      1  83        0         1
#> 197   21.60      1  69        1         0
#> 76.1  19.22      1  54        0         1
#> 23    16.92      1  61        0         0
#> 42    12.43      1  49        0         1
#> 92    22.92      1  47        0         1
#> 197.1 21.60      1  69        1         0
#> 99    21.19      1  38        0         1
#> 49.1  12.19      1  48        1         0
#> 111   17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 199   19.81      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 106   16.67      1  49        1         0
#> 66    22.13      1  53        0         0
#> 25     6.32      1  34        1         0
#> 41.1  18.02      1  40        1         0
#> 79.1  16.23      1  54        1         0
#> 51.1  18.23      1  83        0         1
#> 195   11.76      1  NA        1         0
#> 4     17.64      1  NA        0         1
#> 51.2  18.23      1  83        0         1
#> 51.3  18.23      1  83        0         1
#> 125.1 15.65      1  67        1         0
#> 43    12.10      1  61        0         1
#> 197.2 21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 89    11.44      1  NA        0         0
#> 180   14.82      1  37        0         0
#> 51.4  18.23      1  83        0         1
#> 133.1 14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 110   17.56      1  65        0         1
#> 134   17.81      1  47        1         0
#> 76.2  19.22      1  54        0         1
#> 110.1 17.56      1  65        0         1
#> 134.1 17.81      1  47        1         0
#> 61.1  10.12      1  36        0         1
#> 184   17.77      1  38        0         0
#> 153   21.33      1  55        1         0
#> 177   12.53      1  75        0         0
#> 43.1  12.10      1  61        0         1
#> 157   15.10      1  47        0         0
#> 181.1 16.46      1  45        0         1
#> 133.2 14.65      1  57        0         0
#> 89.1  11.44      1  NA        0         0
#> 99.1  21.19      1  38        0         1
#> 107   11.18      1  54        1         0
#> 10    10.53      1  34        0         0
#> 179   18.63      1  42        0         0
#> 99.2  21.19      1  38        0         1
#> 169   22.41      1  46        0         0
#> 134.2 17.81      1  47        1         0
#> 49.2  12.19      1  48        1         0
#> 6     15.64      1  39        0         0
#> 153.1 21.33      1  55        1         0
#> 52    10.42      1  52        0         1
#> 18    15.21      1  49        1         0
#> 134.3 17.81      1  47        1         0
#> 139   21.49      1  63        1         0
#> 79.2  16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 158   20.14      1  74        1         0
#> 129   23.41      1  53        1         0
#> 155.1 13.08      1  26        0         0
#> 58    19.34      1  39        0         0
#> 171   16.57      1  41        0         1
#> 154   12.63      1  20        1         0
#> 129.1 23.41      1  53        1         0
#> 130.1 16.47      1  53        0         1
#> 158.1 20.14      1  74        1         0
#> 134.4 17.81      1  47        1         0
#> 128.1 20.35      1  35        0         1
#> 117   17.46      1  26        0         1
#> 57.1  14.46      1  45        0         1
#> 128.2 20.35      1  35        0         1
#> 78.1  23.88      1  43        0         0
#> 88    18.37      1  47        0         0
#> 39    15.59      1  37        0         1
#> 90    20.94      1  50        0         1
#> 140   12.68      1  59        1         0
#> 189   10.51      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 90.1  20.94      1  50        0         1
#> 66.1  22.13      1  53        0         0
#> 43.2  12.10      1  61        0         1
#> 91     5.33      1  61        0         1
#> 136   21.83      1  43        0         1
#> 199.1 19.81      1  NA        0         1
#> 100   16.07      1  60        0         0
#> 85    16.44      1  36        0         0
#> 6.1   15.64      1  39        0         0
#> 191   24.00      0  60        0         1
#> 186   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 163   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 198   24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 115   24.00      0  NA        1         0
#> 72    24.00      0  40        0         1
#> 162.1 24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 103   24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 162.2 24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 119   24.00      0  17        0         0
#> 87    24.00      0  27        0         0
#> 21    24.00      0  47        0         0
#> 9.1   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 82.1  24.00      0  34        0         0
#> 151   24.00      0  42        0         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 102   24.00      0  49        0         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 17    24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 144   24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 142   24.00      0  53        0         0
#> 120.1 24.00      0  68        0         1
#> 151.1 24.00      0  42        0         0
#> 71    24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 80    24.00      0  41        0         0
#> 12    24.00      0  63        0         0
#> 176   24.00      0  43        0         1
#> 103.1 24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 47.1  24.00      0  38        0         1
#> 161   24.00      0  45        0         0
#> 3     24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 137   24.00      0  45        1         0
#> 72.2  24.00      0  40        0         1
#> 176.1 24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 65    24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 143.1 24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 185.1 24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 185.2 24.00      0  44        1         0
#> 83.1  24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 121   24.00      0  57        1         0
#> 176.2 24.00      0  43        0         1
#> 7.1   24.00      0  37        1         0
#> 131   24.00      0  66        0         0
#> 161.1 24.00      0  45        0         0
#> 28    24.00      0  67        1         0
#> 119.1 24.00      0  17        0         0
#> 172   24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 135   24.00      0  58        1         0
#> 178.1 24.00      0  52        1         0
#> 64    24.00      0  43        0         0
#> 103.2 24.00      0  56        1         0
#> 21.1  24.00      0  47        0         0
#> 115.1 24.00      0  NA        1         0
#> 20.1  24.00      0  46        1         0
#> 28.1  24.00      0  67        1         0
#> 193   24.00      0  45        0         1
#> 9.2   24.00      0  31        1         0
#> 120.2 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.33          NA        NA      NA
#> 2 age, Cure model           0.0241        NA        NA      NA
#> 3 grade_ii, Cure model      0.176         NA        NA      NA
#> 4 grade_iii, Cure model     0.866         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00431        NA        NA      NA
#> 2 grade_ii, Survival model   0.162          NA        NA      NA
#> 3 grade_iii, Survival model  0.244          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.32947           0.02414           0.17559           0.86595  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 249.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.32946502       0.02414302       0.17559326       0.86595371 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004314238      0.162456994      0.243604340 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.838349438 0.218610340 0.312282782 0.541564272 0.246507855 0.708106777
#>   [7] 0.590139410 0.387693500 0.737882038 0.628984702 0.949339867 0.274904376
#>  [13] 0.502396309 0.848483225 0.560972301 0.331625083 0.767885323 0.341300782
#>  [19] 0.082535843 0.274904376 0.512154602 0.828243513 0.036551532 0.082535843
#>  [25] 0.138381670 0.848483225 0.492635995 0.939172730 0.787898225 0.521956111
#>  [31] 0.054743851 0.979684159 0.387693500 0.590139410 0.341300782 0.341300782
#>  [37] 0.341300782 0.628984702 0.878569531 0.082535843 0.969525575 0.698132046
#>  [43] 0.341300782 0.708106777 0.006226641 0.138381670 0.191934152 0.463473956
#>  [49] 0.406972742 0.274904376 0.463473956 0.406972742 0.949339867 0.453688527
#>  [55] 0.119219970 0.818133551 0.878569531 0.688178299 0.560972301 0.708106777
#>  [61] 0.138381670 0.908675910 0.918832012 0.302676579 0.138381670 0.045481502
#>  [67] 0.406972742 0.848483225 0.648611356 0.119219970 0.929003453 0.678250907
#>  [73] 0.406972742 0.109342701 0.590139410 0.256043881 0.227965134 0.020752607
#>  [79] 0.767885323 0.256043881 0.531766425 0.808058009 0.020752607 0.541564272
#>  [85] 0.227965134 0.406972742 0.191934152 0.482867621 0.737882038 0.191934152
#>  [91] 0.006226641 0.321927263 0.668330453 0.173459525 0.797972516 0.757840786
#>  [97] 0.173459525 0.054743851 0.878569531 0.989841069 0.072889636 0.619130482
#> [103] 0.580346411 0.648611356 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    56   150     8   130   105   133    79    41    57   125    61    76    45 
#> 12.21 20.33 18.43 16.47 19.75 14.65 16.23 18.02 14.46 15.65 10.12 19.22 17.42 
#>    49   181   108   155    51   197  76.1    23    42    92 197.1    99  49.1 
#> 12.19 16.46 18.29 13.08 18.23 21.60 19.22 16.92 12.43 22.92 21.60 21.19 12.19 
#>   111    93   123   106    66    25  41.1  79.1  51.1  51.2  51.3 125.1    43 
#> 17.45 10.33 13.00 16.67 22.13  6.32 18.02 16.23 18.23 18.23 18.23 15.65 12.10 
#> 197.2   183   180  51.4 133.1    78    36   128   110   134  76.2 110.1 134.1 
#> 21.60  9.24 14.82 18.23 14.65 23.88 21.19 20.35 17.56 17.81 19.22 17.56 17.81 
#>  61.1   184   153   177  43.1   157 181.1 133.2  99.1   107    10   179  99.2 
#> 10.12 17.77 21.33 12.53 12.10 15.10 16.46 14.65 21.19 11.18 10.53 18.63 21.19 
#>   169 134.2  49.2     6 153.1    52    18 134.3   139  79.2    55   158   129 
#> 22.41 17.81 12.19 15.64 21.33 10.42 15.21 17.81 21.49 16.23 19.34 20.14 23.41 
#> 155.1    58   171   154 129.1 130.1 158.1 134.4 128.1   117  57.1 128.2  78.1 
#> 13.08 19.34 16.57 12.63 23.41 16.47 20.14 17.81 20.35 17.46 14.46 20.35 23.88 
#>    88    39    90   140    13  90.1  66.1  43.2    91   136   100    85   6.1 
#> 18.37 15.59 20.94 12.68 14.34 20.94 22.13 12.10  5.33 21.83 16.07 16.44 15.64 
#>   191   186   112   163   162    19   198    53    72 162.1    82   103   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185     9 162.2    62   120   119    87    21   9.1   147  82.1   151    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178    47   102   104   143    98    17 104.1   144   141    48 198.1   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1 151.1    71  72.1    80    12   176 103.1   126  47.1   161     3   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    33   137  72.2 176.1    20    65    94 143.1  65.1 185.1   196    83 185.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1     7   121 176.2   7.1   131 161.1    28 119.1   172    44   135 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 103.2  21.1  20.1  28.1   193   9.2 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[50]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005196358               0.503382437               0.385806222 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.14323567             -0.00519571              0.08144029 
#>   grade_iii, Cure model 
#>              1.00769242 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 86    23.81      1  58        0         1
#> 113   22.86      1  34        0         0
#> 45    17.42      1  54        0         1
#> 26    15.77      1  49        0         1
#> 5     16.43      1  51        0         1
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 8     18.43      1  32        0         0
#> 153   21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 134   17.81      1  47        1         0
#> 164   23.60      1  76        0         1
#> 42    12.43      1  49        0         1
#> 130   16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 66    22.13      1  53        0         0
#> 124    9.73      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 32    20.90      1  37        1         0
#> 190   20.81      1  42        1         0
#> 170   19.54      1  43        0         1
#> 16     8.71      1  71        0         1
#> 149    8.37      1  33        1         0
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 189   10.51      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 5.1   16.43      1  51        0         1
#> 56    12.21      1  60        0         0
#> 133   14.65      1  57        0         0
#> 43    12.10      1  61        0         1
#> 14    12.89      1  21        0         0
#> 125   15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 187.1  9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 169   22.41      1  46        0         0
#> 56.1  12.21      1  60        0         0
#> 190.1 20.81      1  42        1         0
#> 10    10.53      1  34        0         0
#> 167   15.55      1  56        1         0
#> 13    14.34      1  54        0         1
#> 159   10.55      1  50        0         1
#> 167.1 15.55      1  56        1         0
#> 101    9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 56.2  12.21      1  60        0         0
#> 111   17.45      1  47        0         1
#> 29    15.45      1  68        1         0
#> 56.3  12.21      1  60        0         0
#> 106   16.67      1  49        1         0
#> 89    11.44      1  NA        0         0
#> 58    19.34      1  39        0         0
#> 49    12.19      1  48        1         0
#> 150   20.33      1  48        0         0
#> 154   12.63      1  20        1         0
#> 55    19.34      1  69        0         1
#> 16.1   8.71      1  71        0         1
#> 155   13.08      1  26        0         0
#> 13.1  14.34      1  54        0         1
#> 192   16.44      1  31        1         0
#> 167.2 15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 26.1  15.77      1  49        0         1
#> 175   21.91      1  43        0         0
#> 189.1 10.51      1  NA        1         0
#> 18.1  15.21      1  49        1         0
#> 199   19.81      1  NA        0         1
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 134.1 17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 164.1 23.60      1  76        0         1
#> 133.1 14.65      1  57        0         0
#> 18.2  15.21      1  49        1         0
#> 89.1  11.44      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 55.1  19.34      1  69        0         1
#> 189.2 10.51      1  NA        1         0
#> 117   17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 42.1  12.43      1  49        0         1
#> 133.2 14.65      1  57        0         0
#> 133.3 14.65      1  57        0         0
#> 169.1 22.41      1  46        0         0
#> 177   12.53      1  75        0         0
#> 23    16.92      1  61        0         0
#> 195   11.76      1  NA        1         0
#> 140   12.68      1  59        1         0
#> 125.1 15.65      1  67        1         0
#> 88    18.37      1  47        0         0
#> 175.1 21.91      1  43        0         0
#> 125.2 15.65      1  67        1         0
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 79    16.23      1  54        1         0
#> 90.1  20.94      1  50        0         1
#> 105   19.75      1  60        0         0
#> 190.2 20.81      1  42        1         0
#> 32.1  20.90      1  37        1         0
#> 168   23.72      1  70        0         0
#> 140.1 12.68      1  59        1         0
#> 23.1  16.92      1  61        0         0
#> 14.1  12.89      1  21        0         0
#> 190.3 20.81      1  42        1         0
#> 96    14.54      1  33        0         1
#> 52    10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 57.1  14.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 75    24.00      0  21        1         0
#> 27    24.00      0  63        1         0
#> 119   24.00      0  17        0         0
#> 156   24.00      0  50        1         0
#> 44    24.00      0  56        0         0
#> 27.1  24.00      0  63        1         0
#> 44.1  24.00      0  56        0         0
#> 143   24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 44.2  24.00      0  56        0         0
#> 95    24.00      0  68        0         1
#> 147   24.00      0  76        1         0
#> 116   24.00      0  58        0         1
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 135   24.00      0  58        1         0
#> 46    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 165   24.00      0  47        0         0
#> 200   24.00      0  64        0         0
#> 21    24.00      0  47        0         0
#> 75.1  24.00      0  21        1         0
#> 178.1 24.00      0  52        1         0
#> 80    24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 19    24.00      0  57        0         1
#> 35    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 73    24.00      0  NA        0         1
#> 94.1  24.00      0  51        0         1
#> 135.1 24.00      0  58        1         0
#> 95.1  24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 73.1  24.00      0  NA        0         1
#> 72    24.00      0  40        0         1
#> 47    24.00      0  38        0         1
#> 27.2  24.00      0  63        1         0
#> 163   24.00      0  66        0         0
#> 72.1  24.00      0  40        0         1
#> 54.1  24.00      0  53        1         0
#> 148   24.00      0  61        1         0
#> 95.2  24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 62    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 198.1 24.00      0  66        0         1
#> 162   24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 137   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 131   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 135.2 24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 54.2  24.00      0  53        1         0
#> 62.1  24.00      0  71        0         0
#> 103   24.00      0  56        1         0
#> 20.1  24.00      0  46        1         0
#> 174.1 24.00      0  49        1         0
#> 200.1 24.00      0  64        0         0
#> 21.1  24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 160   24.00      0  31        1         0
#> 62.2  24.00      0  71        0         0
#> 161.1 24.00      0  45        0         0
#> 182   24.00      0  35        0         0
#> 119.1 24.00      0  17        0         0
#> 74    24.00      0  43        0         1
#> 46.1  24.00      0  71        0         0
#> 161.2 24.00      0  45        0         0
#> 35.1  24.00      0  51        0         0
#> 132   24.00      0  55        0         0
#> 28    24.00      0  67        1         0
#> 7     24.00      0  37        1         0
#> 102.1 24.00      0  49        0         0
#> 35.2  24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 71.1  24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 135.3 24.00      0  58        1         0
#> 87    24.00      0  27        0         0
#> 193   24.00      0  45        0         1
#> 109.1 24.00      0  48        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.143          NA        NA      NA
#> 2 age, Cure model         -0.00520        NA        NA      NA
#> 3 grade_ii, Cure model     0.0814         NA        NA      NA
#> 4 grade_iii, Cure model    1.01           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00520        NA        NA      NA
#> 2 grade_ii, Survival model   0.503          NA        NA      NA
#> 3 grade_iii, Survival model  0.386          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.143236         -0.005196          0.081440          1.007692  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 251.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.14323567      -0.00519571       0.08144029       1.00769242 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005196358      0.503382437      0.385806222 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.022868996 0.085029785 0.414012783 0.512508480 0.483249094 0.074790668
#>   [7] 0.944711454 0.343706583 0.172612072 0.263771576 0.374264905 0.044378938
#>  [13] 0.804358992 0.453730505 0.463673953 0.127378694 0.607536973 0.205489246
#>  [19] 0.226268381 0.294026801 0.963139782 0.981562125 0.333612610 0.635276664
#>  [25] 0.012338395 0.483249094 0.822951633 0.644691314 0.869589895 0.738622220
#>  [31] 0.531790323 0.916649449 0.944711454 0.003648841 0.106177391 0.822951633
#>  [37] 0.226268381 0.888416907 0.569855319 0.710408530 0.879010168 0.569855319
#>  [43] 0.935387795 0.560192708 0.822951633 0.404075968 0.598021449 0.822951633
#>  [49] 0.443761567 0.304141852 0.860162346 0.273770176 0.776200394 0.304141852
#>  [55] 0.963139782 0.729166603 0.710408530 0.463673953 0.569855319 0.183916650
#>  [61] 0.512508480 0.138699079 0.607536973 0.794977756 0.926027159 0.374264905
#>  [67] 0.044378938 0.644691314 0.607536973 0.364049174 0.907250600 0.304141852
#>  [73] 0.394101863 0.161124973 0.804358992 0.644691314 0.644691314 0.106177391
#>  [79] 0.785570966 0.423923223 0.757461976 0.531790323 0.353846194 0.138699079
#>  [85] 0.531790323 0.095473884 0.064336530 0.502723077 0.183916650 0.283850074
#>  [91] 0.226268381 0.205489246 0.033081329 0.757461976 0.423923223 0.738622220
#>  [97] 0.226268381 0.682081199 0.897839805 0.691595382 0.691595382 0.990782708
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000
#> 
#> $Time
#>    86   113    45    26     5    92   187     8   153    68   134   164    42 
#> 23.81 22.86 17.42 15.77 16.43 22.92  9.92 18.43 21.33 20.62 17.81 23.60 12.43 
#>   130    85    66    18    32   190   170    16   149    76   157    78   5.1 
#> 16.47 16.44 22.13 15.21 20.90 20.81 19.54  8.71  8.37 19.22 15.10 23.88 16.43 
#>    56   133    43    14   125    61 187.1    24   169  56.1 190.1    10   167 
#> 12.21 14.65 12.10 12.89 15.65 10.12  9.92 23.89 22.41 12.21 20.81 10.53 15.55 
#>    13   159 167.1   101     6  56.2   111    29  56.3   106    58    49   150 
#> 14.34 10.55 15.55  9.97 15.64 12.21 17.45 15.45 12.21 16.67 19.34 12.19 20.33 
#>   154    55  16.1   155  13.1   192 167.2    90  26.1   175  18.1    37   145 
#> 12.63 19.34  8.71 13.08 14.34 16.44 15.55 20.94 15.77 21.91 15.21 12.52 10.07 
#> 134.1 164.1 133.1  18.2    51    93  55.1   117   136  42.1 133.2 133.3 169.1 
#> 17.81 23.60 14.65 15.21 18.23 10.33 19.34 17.46 21.83 12.43 14.65 14.65 22.41 
#>   177    23   140 125.1    88 175.1 125.2    15   129    79  90.1   105 190.2 
#> 12.53 16.92 12.68 15.65 18.37 21.91 15.65 22.68 23.41 16.23 20.94 19.75 20.81 
#>  32.1   168 140.1  23.1  14.1 190.3    96    52    57  57.1    77    75    27 
#> 20.90 23.72 12.68 16.92 12.89 20.81 14.54 10.42 14.46 14.46  7.27 24.00 24.00 
#>   119   156    44  27.1  44.1   143    22   178    94  44.2    95   147   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    54   135    46     1     9   165   200    21  75.1 178.1    80    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19    35   198  94.1 135.1  95.1   174    72    47  27.2   163  72.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  95.2   161    62    38 198.1   162  67.1   137   118   102   131   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.2    71  54.2  62.1   103  20.1 174.1 200.1  21.1   142   160  62.2 161.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 119.1    74  46.1 161.2  35.1   132    28     7 102.1  35.2    17   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.1   109 135.3    87   193 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[51]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008444317               0.788193240               0.531832488 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.79069850              0.01356488             -0.05137437 
#>   grade_iii, Cure model 
#>              0.92056023 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 36    21.19      1  48        0         1
#> 155   13.08      1  26        0         0
#> 190   20.81      1  42        1         0
#> 127    3.53      1  62        0         1
#> 136   21.83      1  43        0         1
#> 10    10.53      1  34        0         0
#> 78    23.88      1  43        0         0
#> 130   16.47      1  53        0         1
#> 39    15.59      1  37        0         1
#> 99    21.19      1  38        0         1
#> 124    9.73      1  NA        1         0
#> 169   22.41      1  46        0         0
#> 188   16.16      1  46        0         1
#> 180   14.82      1  37        0         0
#> 106   16.67      1  49        1         0
#> 63    22.77      1  31        1         0
#> 188.1 16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 42    12.43      1  49        0         1
#> 42.1  12.43      1  49        0         1
#> 79    16.23      1  54        1         0
#> 52    10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 13    14.34      1  54        0         1
#> 5     16.43      1  51        0         1
#> 57    14.46      1  45        0         1
#> 51    18.23      1  83        0         1
#> 45    17.42      1  54        0         1
#> 86    23.81      1  58        0         1
#> 167   15.55      1  56        1         0
#> 133   14.65      1  57        0         0
#> 169.1 22.41      1  46        0         0
#> 32    20.90      1  37        1         0
#> 155.1 13.08      1  26        0         0
#> 167.1 15.55      1  56        1         0
#> 188.2 16.16      1  46        0         1
#> 4     17.64      1  NA        0         1
#> 69    23.23      1  25        0         1
#> 14    12.89      1  21        0         0
#> 45.1  17.42      1  54        0         1
#> 99.1  21.19      1  38        0         1
#> 99.2  21.19      1  38        0         1
#> 130.1 16.47      1  53        0         1
#> 85    16.44      1  36        0         0
#> 101    9.97      1  10        0         1
#> 55    19.34      1  69        0         1
#> 114   13.68      1  NA        0         0
#> 15    22.68      1  48        0         0
#> 60    13.15      1  38        1         0
#> 153   21.33      1  55        1         0
#> 195   11.76      1  NA        1         0
#> 194   22.40      1  38        0         1
#> 36.1  21.19      1  48        0         1
#> 190.1 20.81      1  42        1         0
#> 187    9.92      1  39        1         0
#> 111   17.45      1  47        0         1
#> 41    18.02      1  40        1         0
#> 52.1  10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 159.1 10.55      1  50        0         1
#> 43    12.10      1  61        0         1
#> 39.1  15.59      1  37        0         1
#> 18    15.21      1  49        1         0
#> 180.1 14.82      1  37        0         0
#> 111.1 17.45      1  47        0         1
#> 169.2 22.41      1  46        0         0
#> 157   15.10      1  47        0         0
#> 167.2 15.55      1  56        1         0
#> 5.1   16.43      1  51        0         1
#> 26    15.77      1  49        0         1
#> 55.1  19.34      1  69        0         1
#> 66    22.13      1  53        0         0
#> 66.1  22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 133.1 14.65      1  57        0         0
#> 105.1 19.75      1  60        0         0
#> 170   19.54      1  43        0         1
#> 189.1 10.51      1  NA        1         0
#> 194.1 22.40      1  38        0         1
#> 188.3 16.16      1  46        0         1
#> 155.2 13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 101.1  9.97      1  10        0         1
#> 123   13.00      1  44        1         0
#> 45.2  17.42      1  54        0         1
#> 168.1 23.72      1  70        0         0
#> 167.3 15.55      1  56        1         0
#> 127.1  3.53      1  62        0         1
#> 175   21.91      1  43        0         0
#> 77     7.27      1  67        0         1
#> 51.1  18.23      1  83        0         1
#> 78.1  23.88      1  43        0         0
#> 18.1  15.21      1  49        1         0
#> 10.1  10.53      1  34        0         0
#> 140   12.68      1  59        1         0
#> 70     7.38      1  30        1         0
#> 26.1  15.77      1  49        0         1
#> 195.1 11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 55.2  19.34      1  69        0         1
#> 32.1  20.90      1  37        1         0
#> 168.2 23.72      1  70        0         0
#> 97    19.14      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 127.2  3.53      1  62        0         1
#> 130.2 16.47      1  53        0         1
#> 58    19.34      1  39        0         0
#> 187.1  9.92      1  39        1         0
#> 41.1  18.02      1  40        1         0
#> 128   20.35      1  35        0         1
#> 94    24.00      0  51        0         1
#> 11    24.00      0  42        0         1
#> 47    24.00      0  38        0         1
#> 21    24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 65    24.00      0  57        1         0
#> 115   24.00      0  NA        1         0
#> 2     24.00      0   9        0         0
#> 94.1  24.00      0  51        0         1
#> 152   24.00      0  36        0         1
#> 191   24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 83    24.00      0   6        0         0
#> 71    24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 109   24.00      0  48        0         0
#> 7     24.00      0  37        1         0
#> 94.2  24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 163.1 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 74    24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 46    24.00      0  71        0         0
#> 94.3  24.00      0  51        0         1
#> 152.1 24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 2.2   24.00      0   9        0         0
#> 20    24.00      0  46        1         0
#> 191.1 24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 138   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 162   24.00      0  51        0         0
#> 11.1  24.00      0  42        0         1
#> 67    24.00      0  25        0         0
#> 144   24.00      0  28        0         1
#> 94.4  24.00      0  51        0         1
#> 135   24.00      0  58        1         0
#> 135.1 24.00      0  58        1         0
#> 83.1  24.00      0   6        0         0
#> 65.1  24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 146   24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 64    24.00      0  43        0         0
#> 173.1 24.00      0  19        0         1
#> 109.1 24.00      0  48        0         0
#> 121.1 24.00      0  57        1         0
#> 185   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 163.2 24.00      0  66        0         0
#> 9     24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 22    24.00      0  52        1         0
#> 142   24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 119   24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 146.1 24.00      0  63        1         0
#> 141   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 64.1  24.00      0  43        0         0
#> 64.2  24.00      0  43        0         0
#> 38    24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 176.1 24.00      0  43        0         1
#> 122   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 152.2 24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 31    24.00      0  36        0         1
#> 103.1 24.00      0  56        1         0
#> 162.1 24.00      0  51        0         0
#> 186   24.00      0  45        1         0
#> 103.2 24.00      0  56        1         0
#> 71.1  24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.791         NA        NA      NA
#> 2 age, Cure model           0.0136        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0514        NA        NA      NA
#> 4 grade_iii, Cure model     0.921         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00844        NA        NA      NA
#> 2 grade_ii, Survival model   0.788          NA        NA      NA
#> 3 grade_iii, Survival model  0.532          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.79070           0.01356          -0.05137           0.92056  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 252.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.79069850       0.01356488      -0.05137437       0.92056023 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008444317      0.788193240      0.531832488 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.231142989 0.778015466 0.299898366 0.974148323 0.208440947 0.876891287
#>   [7] 0.004253762 0.512870070 0.634000516 0.231142989 0.122089268 0.578891091
#>  [13] 0.714649682 0.503287967 0.101228506 0.578891091 0.859030539 0.832125435
#>  [19] 0.832125435 0.569421594 0.894843298 0.056205624 0.759877489 0.550517252
#>  [25] 0.750768050 0.416361282 0.474844280 0.017914159 0.652379052 0.732623827
#>  [31] 0.122089268 0.280080778 0.778015466 0.652379052 0.578891091 0.068674392
#>  [37] 0.814039671 0.474844280 0.231142989 0.231142989 0.512870070 0.540947252
#>  [43] 0.912760398 0.367921370 0.111496108 0.768978332 0.219903868 0.153638280
#>  [49] 0.231142989 0.299898366 0.930481249 0.455595873 0.436229391 0.894843298
#>  [55] 0.338397200 0.859030539 0.850031474 0.634000516 0.687887876 0.714649682
#>  [61] 0.455595873 0.122089268 0.705666404 0.652379052 0.550517252 0.615490395
#>  [67] 0.367921370 0.174766758 0.174766758 0.948007758 0.732623827 0.338397200
#>  [73] 0.358021497 0.153638280 0.578891091 0.778015466 0.027016297 0.328666320
#>  [79] 0.912760398 0.804996435 0.474844280 0.027016297 0.652379052 0.974148323
#>  [85] 0.196861173 0.965451802 0.416361282 0.004253762 0.687887876 0.876891287
#>  [91] 0.823099263 0.956757895 0.615490395 0.080349280 0.367921370 0.280080778
#>  [97] 0.027016297 0.406380868 0.080349280 0.974148323 0.512870070 0.367921370
#> [103] 0.930481249 0.436229391 0.319030524 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    36   155   190   127   136    10    78   130    39    99   169   188   180 
#> 21.19 13.08 20.81  3.53 21.83 10.53 23.88 16.47 15.59 21.19 22.41 16.16 14.82 
#>   106    63 188.1   159    42  42.1    79    52   164    13     5    57    51 
#> 16.67 22.77 16.16 10.55 12.43 12.43 16.23 10.42 23.60 14.34 16.43 14.46 18.23 
#>    45    86   167   133 169.1    32 155.1 167.1 188.2    69    14  45.1  99.1 
#> 17.42 23.81 15.55 14.65 22.41 20.90 13.08 15.55 16.16 23.23 12.89 17.42 21.19 
#>  99.2 130.1    85   101    55    15    60   153   194  36.1 190.1   187   111 
#> 21.19 16.47 16.44  9.97 19.34 22.68 13.15 21.33 22.40 21.19 20.81  9.92 17.45 
#>    41  52.1   105 159.1    43  39.1    18 180.1 111.1 169.2   157 167.2   5.1 
#> 18.02 10.42 19.75 10.55 12.10 15.59 15.21 14.82 17.45 22.41 15.10 15.55 16.43 
#>    26  55.1    66  66.1   149 133.1 105.1   170 194.1 188.3 155.2   168   150 
#> 15.77 19.34 22.13 22.13  8.37 14.65 19.75 19.54 22.40 16.16 13.08 23.72 20.33 
#> 101.1   123  45.2 168.1 167.3 127.1   175    77  51.1  78.1  18.1  10.1   140 
#>  9.97 13.00 17.42 23.72 15.55  3.53 21.91  7.27 18.23 23.88 15.21 10.53 12.68 
#>    70  26.1    92  55.2  32.1 168.2    97  92.1 127.2 130.2    58 187.1  41.1 
#>  7.38 15.77 22.92 19.34 20.90 23.72 19.14 22.92  3.53 16.47 19.34  9.92 18.02 
#>   128    94    11    47    21    53    65     2  94.1   152   191   163    83 
#> 20.35 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   173    72   109     7  94.2    35 163.1   143  35.1   2.1   196   151 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74   182    46  94.3 152.1    17   193   2.2    20 191.1   121   138   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162  11.1    67   144  94.4   135 135.1  83.1  65.1    27   148   146   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    64 173.1 109.1 121.1   185   147    48   160 163.2     9    82    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   176   119  20.1    75 146.1   141   112  64.1  64.2    38   200 176.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122    34 152.2   103    31 103.1 162.1   186 103.2  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[52]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004661473               0.878503277               0.471838722 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -3.507316e-01            5.104893e-05            1.590315e-01 
#>   grade_iii, Cure model 
#>            1.144553e+00 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 36    21.19      1  48        0         1
#> 93    10.33      1  52        0         1
#> 90    20.94      1  50        0         1
#> 108   18.29      1  39        0         1
#> 69    23.23      1  25        0         1
#> 45    17.42      1  54        0         1
#> 92    22.92      1  47        0         1
#> 45.1  17.42      1  54        0         1
#> 153   21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 93.1  10.33      1  52        0         1
#> 164   23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 30    17.43      1  78        0         0
#> 8     18.43      1  32        0         0
#> 124    9.73      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 130   16.47      1  53        0         1
#> 184   17.77      1  38        0         0
#> 8.1   18.43      1  32        0         0
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 159   10.55      1  50        0         1
#> 43    12.10      1  61        0         1
#> 106   16.67      1  49        1         0
#> 123   13.00      1  44        1         0
#> 16     8.71      1  71        0         1
#> 23    16.92      1  61        0         0
#> 79    16.23      1  54        1         0
#> 195.1 11.76      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 108.1 18.29      1  39        0         1
#> 179   18.63      1  42        0         0
#> 90.1  20.94      1  50        0         1
#> 108.2 18.29      1  39        0         1
#> 190   20.81      1  42        1         0
#> 15    22.68      1  48        0         0
#> 99    21.19      1  38        0         1
#> 45.2  17.42      1  54        0         1
#> 134   17.81      1  47        1         0
#> 51    18.23      1  83        0         1
#> 43.1  12.10      1  61        0         1
#> 167.1 15.55      1  56        1         0
#> 105   19.75      1  60        0         0
#> 60    13.15      1  38        1         0
#> 166   19.98      1  48        0         0
#> 37    12.52      1  57        1         0
#> 107   11.18      1  54        1         0
#> 89    11.44      1  NA        0         0
#> 55    19.34      1  69        0         1
#> 59    10.16      1  NA        1         0
#> 61    10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 188   16.16      1  46        0         1
#> 136   21.83      1  43        0         1
#> 168   23.72      1  70        0         0
#> 5     16.43      1  51        0         1
#> 59.1  10.16      1  NA        1         0
#> 36.1  21.19      1  48        0         1
#> 199   19.81      1  NA        0         1
#> 89.1  11.44      1  NA        0         0
#> 169   22.41      1  46        0         0
#> 32    20.90      1  37        1         0
#> 36.2  21.19      1  48        0         1
#> 70     7.38      1  30        1         0
#> 106.1 16.67      1  49        1         0
#> 70.1   7.38      1  30        1         0
#> 40    18.00      1  28        1         0
#> 111   17.45      1  47        0         1
#> 199.1 19.81      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 91     5.33      1  61        0         1
#> 159.1 10.55      1  50        0         1
#> 23.1  16.92      1  61        0         0
#> 68    20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 26    15.77      1  49        0         1
#> 59.2  10.16      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 92.1  22.92      1  47        0         1
#> 108.3 18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 158   20.14      1  74        1         0
#> 63    22.77      1  31        1         0
#> 106.2 16.67      1  49        1         0
#> 125   15.65      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 117.1 17.46      1  26        0         1
#> 50    10.02      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 188.1 16.16      1  46        0         1
#> 117.2 17.46      1  26        0         1
#> 5.1   16.43      1  51        0         1
#> 43.2  12.10      1  61        0         1
#> 175.1 21.91      1  43        0         0
#> 6     15.64      1  39        0         0
#> 101    9.97      1  10        0         1
#> 56    12.21      1  60        0         0
#> 5.2   16.43      1  51        0         1
#> 168.1 23.72      1  70        0         0
#> 56.1  12.21      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 149.1  8.37      1  33        1         0
#> 97    19.14      1  65        0         1
#> 50.1  10.02      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 107.1 11.18      1  54        1         0
#> 43.3  12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 31    24.00      0  36        0         1
#> 146   24.00      0  63        1         0
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 7     24.00      0  37        1         0
#> 156   24.00      0  50        1         0
#> 48    24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 19    24.00      0  57        0         1
#> 138   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 174   24.00      0  49        1         0
#> 191.1 24.00      0  60        0         1
#> 138.1 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 147   24.00      0  76        1         0
#> 2     24.00      0   9        0         0
#> 80    24.00      0  41        0         0
#> 120   24.00      0  68        0         1
#> 94    24.00      0  51        0         1
#> 152   24.00      0  36        0         1
#> 28    24.00      0  67        1         0
#> 176   24.00      0  43        0         1
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 135   24.00      0  58        1         0
#> 73    24.00      0  NA        0         1
#> 103   24.00      0  56        1         0
#> 80.1  24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 67    24.00      0  25        0         0
#> 120.1 24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 163   24.00      0  66        0         0
#> 74    24.00      0  43        0         1
#> 120.2 24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 131.1 24.00      0  66        0         0
#> 103.1 24.00      0  56        1         0
#> 143   24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 74.1  24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 172   24.00      0  41        0         0
#> 62    24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 143.1 24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 198   24.00      0  66        0         1
#> 176.1 24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 47    24.00      0  38        0         1
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 172.1 24.00      0  41        0         0
#> 185.1 24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 21.1  24.00      0  47        0         0
#> 98    24.00      0  34        1         0
#> 147.2 24.00      0  76        1         0
#> 142.1 24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 176.2 24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 112   24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 152.1 24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 120.3 24.00      0  68        0         1
#> 7.1   24.00      0  37        1         0
#> 80.2  24.00      0  41        0         0
#> 132   24.00      0  55        0         0
#> 11    24.00      0  42        0         1
#> 182   24.00      0  35        0         0
#> 115   24.00      0  NA        1         0
#> 131.2 24.00      0  66        0         0
#> 120.4 24.00      0  68        0         1
#> 186.1 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 48.2  24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.351            NA        NA      NA
#> 2 age, Cure model          0.0000510        NA        NA      NA
#> 3 grade_ii, Cure model     0.159            NA        NA      NA
#> 4 grade_iii, Cure model    1.14             NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00466        NA        NA      NA
#> 2 grade_ii, Survival model   0.879          NA        NA      NA
#> 3 grade_iii, Survival model  0.472          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -3.507e-01         5.105e-05         1.590e-01         1.145e+00  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.6 
#> Residual Deviance: 243.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -3.507316e-01     5.104893e-05     1.590315e-01     1.144553e+00 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004661473      0.878503277      0.471838722 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.88986173 0.23446129 0.90597588 0.27882729 0.45015348 0.08709355
#>   [7] 0.57763652 0.10278633 0.57763652 0.22171766 0.87367198 0.90597588
#>  [13] 0.07010819 0.74101015 0.56799417 0.42914353 0.95388664 0.65197647
#>  [19] 0.52010102 0.42914353 0.37650777 0.85752609 0.80861013 0.62477538
#>  [25] 0.77522686 0.94592764 0.60574291 0.68796150 0.88986173 0.45015348
#>  [31] 0.41857941 0.27882729 0.45015348 0.31256932 0.14236755 0.23446129
#>  [37] 0.57763652 0.51025548 0.48997449 0.80861013 0.74101015 0.35527597
#>  [43] 0.76673533 0.34465399 0.78362995 0.84129781 0.38718252 0.92201645
#>  [49] 0.98477016 0.69691798 0.20830945 0.03949245 0.66114002 0.23446129
#>  [55] 0.15530841 0.30146538 0.23446129 0.96946281 0.62477538 0.96946281
#>  [61] 0.50022933 0.55840146 0.02419850 0.99239110 0.85752609 0.60574291
#>  [67] 0.32330004 0.16846132 0.71458340 0.92201645 0.10278633 0.45015348
#>  [73] 0.52997691 0.33409725 0.12965890 0.62477538 0.72344103 0.87367198
#>  [79] 0.52997691 0.75814712 0.18184336 0.00713025 0.69691798 0.52997691
#>  [85] 0.66114002 0.80861013 0.18184336 0.73221683 0.93795850 0.79195753
#>  [91] 0.66114002 0.03949245 0.79195753 0.35527597 0.95388664 0.39780982
#>  [97] 0.39780982 0.84129781 0.80861013 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    52    36    93    90   108    69    45    92  45.1   153    10  93.1   164 
#> 10.42 21.19 10.33 20.94 18.29 23.23 17.42 22.92 17.42 21.33 10.53 10.33 23.60 
#>   167    30     8   149   130   184   8.1   170   159    43   106   123    16 
#> 15.55 17.43 18.43  8.37 16.47 17.77 18.43 19.54 10.55 12.10 16.67 13.00  8.71 
#>    23    79  52.1 108.1   179  90.1 108.2   190    15    99  45.2   134    51 
#> 16.92 16.23 10.42 18.29 18.63 20.94 18.29 20.81 22.68 21.19 17.42 17.81 18.23 
#>  43.1 167.1   105    60   166    37   107    55    61    25   188   136   168 
#> 12.10 15.55 19.75 13.15 19.98 12.52 11.18 19.34 10.12  6.32 16.16 21.83 23.72 
#>     5  36.1   169    32  36.2    70 106.1  70.1    40   111    86    91 159.1 
#> 16.43 21.19 22.41 20.90 21.19  7.38 16.67  7.38 18.00 17.45 23.81  5.33 10.55 
#>  23.1    68    66    26  61.1  92.1 108.3   117   158    63 106.2   125  10.1 
#> 16.92 20.62 22.13 15.77 10.12 22.92 18.29 17.46 20.14 22.77 16.67 15.65 10.53 
#> 117.1    57   175    78 188.1 117.2   5.1  43.2 175.1     6   101    56   5.2 
#> 17.46 14.46 21.91 23.88 16.16 17.46 16.43 12.10 21.91 15.64  9.97 12.21 16.43 
#> 168.1  56.1 105.1 149.1    97  97.1 107.1  43.3    31   146    20    54     7 
#> 23.72 12.21 19.75  8.37 19.14 19.14 11.18 12.10 24.00 24.00 24.00 24.00 24.00 
#>   156    48   191    19   138   118   186   174 191.1 138.1    84   102   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147     2    80   120    94   152    28   176   131   122   135   103  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    67 120.1    87   163    74 120.2   104   173 131.1 103.1   143  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148  74.1   161   172    62    72 143.1    82   198 176.1    21   142    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   119 172.1 185.1 147.1  21.1    98 147.2 142.1 122.1 176.2   121   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   162    71 152.1  48.1 120.3   7.1  80.2   132    11   182 131.2 120.4 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34  48.2  20.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[53]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00588165                0.93012306                0.72986879 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.45634403              0.02549202              0.30994399 
#>   grade_iii, Cure model 
#>              0.99375583 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 61    10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 92    22.92      1  47        0         1
#> 30    17.43      1  78        0         0
#> 29    15.45      1  68        1         0
#> 13    14.34      1  54        0         1
#> 158   20.14      1  74        1         0
#> 29.1  15.45      1  68        1         0
#> 91     5.33      1  61        0         1
#> 150   20.33      1  48        0         0
#> 127    3.53      1  62        0         1
#> 192   16.44      1  31        1         0
#> 179   18.63      1  42        0         0
#> 60    13.15      1  38        1         0
#> 14    12.89      1  21        0         0
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 106   16.67      1  49        1         0
#> 32    20.90      1  37        1         0
#> 6     15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 197   21.60      1  69        1         0
#> 167   15.55      1  56        1         0
#> 127.1  3.53      1  62        0         1
#> 167.1 15.55      1  56        1         0
#> 90    20.94      1  50        0         1
#> 56.1  12.21      1  60        0         0
#> 5     16.43      1  51        0         1
#> 59    10.16      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 145   10.07      1  65        1         0
#> 18    15.21      1  49        1         0
#> 183    9.24      1  67        1         0
#> 10    10.53      1  34        0         0
#> 194   22.40      1  38        0         1
#> 61.1  10.12      1  36        0         1
#> 29.2  15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 51    18.23      1  83        0         1
#> 29.3  15.45      1  68        1         0
#> 111.1 17.45      1  47        0         1
#> 97    19.14      1  65        0         1
#> 91.1   5.33      1  61        0         1
#> 96    14.54      1  33        0         1
#> 183.1  9.24      1  67        1         0
#> 158.1 20.14      1  74        1         0
#> 66    22.13      1  53        0         0
#> 13.1  14.34      1  54        0         1
#> 16     8.71      1  71        0         1
#> 91.2   5.33      1  61        0         1
#> 105   19.75      1  60        0         0
#> 68    20.62      1  44        0         0
#> 127.2  3.53      1  62        0         1
#> 111.2 17.45      1  47        0         1
#> 18.1  15.21      1  49        1         0
#> 77     7.27      1  67        0         1
#> 168.1 23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 36    21.19      1  48        0         1
#> 169   22.41      1  46        0         0
#> 187    9.92      1  39        1         0
#> 168.2 23.72      1  70        0         0
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 51.1  18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 166   19.98      1  48        0         0
#> 18.2  15.21      1  49        1         0
#> 70     7.38      1  30        1         0
#> 140   12.68      1  59        1         0
#> 167.2 15.55      1  56        1         0
#> 192.1 16.44      1  31        1         0
#> 25     6.32      1  34        1         0
#> 133   14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 5.1   16.43      1  51        0         1
#> 181.1 16.46      1  45        0         1
#> 63.1  22.77      1  31        1         0
#> 179.1 18.63      1  42        0         0
#> 164   23.60      1  76        0         1
#> 39    15.59      1  37        0         1
#> 85    16.44      1  36        0         0
#> 129   23.41      1  53        1         0
#> 149    8.37      1  33        1         0
#> 114   13.68      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 90.1  20.94      1  50        0         1
#> 168.3 23.72      1  70        0         0
#> 100   16.07      1  60        0         0
#> 189   10.51      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 157   15.10      1  47        0         0
#> 60.1  13.15      1  38        1         0
#> 187.2  9.92      1  39        1         0
#> 43    12.10      1  61        0         1
#> 29.4  15.45      1  68        1         0
#> 164.1 23.60      1  76        0         1
#> 36.1  21.19      1  48        0         1
#> 154   12.63      1  20        1         0
#> 13.2  14.34      1  54        0         1
#> 49    12.19      1  48        1         0
#> 187.3  9.92      1  39        1         0
#> 57    14.46      1  45        0         1
#> 23    16.92      1  61        0         0
#> 139   21.49      1  63        1         0
#> 169.1 22.41      1  46        0         0
#> 78.1  23.88      1  43        0         0
#> 32.1  20.90      1  37        1         0
#> 90.2  20.94      1  50        0         1
#> 43.1  12.10      1  61        0         1
#> 44    24.00      0  56        0         0
#> 62    24.00      0  71        0         0
#> 172   24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 11    24.00      0  42        0         1
#> 7.1   24.00      0  37        1         0
#> 28    24.00      0  67        1         0
#> 80    24.00      0  41        0         0
#> 102   24.00      0  49        0         0
#> 53    24.00      0  32        0         1
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 196   24.00      0  19        0         0
#> 200.1 24.00      0  64        0         0
#> 132   24.00      0  55        0         0
#> 47    24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 122   24.00      0  66        0         0
#> 137   24.00      0  45        1         0
#> 137.1 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 156   24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 80.1  24.00      0  41        0         0
#> 95.1  24.00      0  68        0         1
#> 62.1  24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 144.1 24.00      0  28        0         1
#> 200.2 24.00      0  64        0         0
#> 118   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 144.2 24.00      0  28        0         1
#> 161   24.00      0  45        0         0
#> 20.1  24.00      0  46        1         0
#> 28.1  24.00      0  67        1         0
#> 152   24.00      0  36        0         1
#> 200.3 24.00      0  64        0         0
#> 33    24.00      0  53        0         0
#> 200.4 24.00      0  64        0         0
#> 138   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 185   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 17    24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 7.2   24.00      0  37        1         0
#> 138.1 24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 12    24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 20.2  24.00      0  46        1         0
#> 31    24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 65    24.00      0  57        1         0
#> 27    24.00      0  63        1         0
#> 126.1 24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 185.1 24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 151.1 24.00      0  42        0         0
#> 156.2 24.00      0  50        1         0
#> 138.2 24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 144.3 24.00      0  28        0         1
#> 156.3 24.00      0  50        1         0
#> 176   24.00      0  43        0         1
#> 174.1 24.00      0  49        1         0
#> 147   24.00      0  76        1         0
#> 7.3   24.00      0  37        1         0
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 138.3 24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 178   24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 28.2  24.00      0  67        1         0
#> 178.1 24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 95.2  24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 138.4 24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 9     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 47.2  24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.46          NA        NA      NA
#> 2 age, Cure model           0.0255        NA        NA      NA
#> 3 grade_ii, Cure model      0.310         NA        NA      NA
#> 4 grade_iii, Cure model     0.994         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00588        NA        NA      NA
#> 2 grade_ii, Survival model   0.930          NA        NA      NA
#> 3 grade_iii, Survival model  0.730          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.45634           0.02549           0.30994           0.99376  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    269.2 
#> Residual Deviance: 256.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.45634403       0.02549202       0.30994399       0.99375583 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00588165       0.93012306       0.72986879 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.82209282 0.87073924 0.27265733 0.27265733 0.15481952 0.51375902
#>   [7] 0.66736762 0.75753924 0.38257070 0.66736762 0.96257368 0.37277630
#>  [13] 0.98136548 0.56776832 0.42994512 0.77935480 0.80083000 0.82907965
#>  [19] 0.47741839 0.54120586 0.34395777 0.62669610 0.52294663 0.24783904
#>  [25] 0.64344029 0.98136548 0.64344029 0.31402806 0.82907965 0.59309423
#>  [31] 0.48685995 0.88439182 0.70520701 0.91734999 0.86381195 0.22185135
#>  [37] 0.87073924 0.66736762 0.03981092 0.45856861 0.66736762 0.48685995
#>  [43] 0.42043575 0.96257368 0.74258838 0.91734999 0.38257070 0.23474882
#>  [49] 0.75753924 0.93038373 0.96257368 0.41083614 0.36304481 0.98136548
#>  [55] 0.48685995 0.70520701 0.94980524 0.03981092 0.55022184 0.27265733
#>  [61] 0.19583990 0.89120614 0.03981092 0.17062595 0.01098326 0.45856861
#>  [67] 0.79369114 0.40130279 0.70520701 0.94338080 0.80797627 0.64344029
#>  [73] 0.56776832 0.95621238 0.73503685 0.61831016 0.59309423 0.55022184
#>  [79] 0.17062595 0.42994512 0.10311183 0.63510511 0.56776832 0.13803234
#>  [85] 0.93690678 0.44893549 0.31402806 0.03981092 0.60984278 0.89120614
#>  [91] 0.72750736 0.77935480 0.89120614 0.85003288 0.66736762 0.10311183
#>  [97] 0.27265733 0.81507285 0.75753924 0.84306424 0.89120614 0.75008587
#> [103] 0.53205263 0.26046969 0.19583990 0.01098326 0.34395777 0.31402806
#> [109] 0.85003288 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    42    61    99  99.1    92    30    29    13   158  29.1    91   150   127 
#> 12.43 10.12 21.19 21.19 22.92 17.43 15.45 14.34 20.14 15.45  5.33 20.33  3.53 
#>   192   179    60    14    56   110   106    32     6    45   197   167 127.1 
#> 16.44 18.63 13.15 12.89 12.21 17.56 16.67 20.90 15.64 17.42 21.60 15.55  3.53 
#> 167.1    90  56.1     5   111   145    18   183    10   194  61.1  29.2   168 
#> 15.55 20.94 12.21 16.43 17.45 10.07 15.21  9.24 10.53 22.40 10.12 15.45 23.72 
#>    51  29.3 111.1    97  91.1    96 183.1 158.1    66  13.1    16  91.2   105 
#> 18.23 15.45 17.45 19.14  5.33 14.54  9.24 20.14 22.13 14.34  8.71  5.33 19.75 
#>    68 127.2 111.2  18.1    77 168.1   181    36   169   187 168.2    63    78 
#> 20.62  3.53 17.45 15.21  7.27 23.72 16.46 21.19 22.41  9.92 23.72 22.77 23.88 
#>  51.1   123   166  18.2    70   140 167.2 192.1    25   133   125   5.1 181.1 
#> 18.23 13.00 19.98 15.21  7.38 12.68 15.55 16.44  6.32 14.65 15.65 16.43 16.46 
#>  63.1 179.1   164    39    85   129   149     8  90.1 168.3   100 187.1   157 
#> 22.77 18.63 23.60 15.59 16.44 23.41  8.37 18.43 20.94 23.72 16.07  9.92 15.10 
#>  60.1 187.2    43  29.4 164.1  36.1   154  13.2    49 187.3    57    23   139 
#> 13.15  9.92 12.10 15.45 23.60 21.19 12.63 14.34 12.19  9.92 14.46 16.92 21.49 
#> 169.1  78.1  32.1  90.2  43.1    44    62   172     7    11   7.1    28    80 
#> 22.41 23.88 20.90 20.94 12.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102    53    20   200   196 200.1   132    47   144   122   137 137.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156    87  80.1  95.1  62.1   148 144.1 200.2   118    75 144.2   161  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1   152 200.3    33 200.4   138   126   185   182    17 156.1   7.2 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.1    12   151  20.2    31   186    65    27 126.1   174 185.1 122.1 151.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2 138.2 172.1 144.3 156.3   176 174.1   147   7.3   162    21 138.3   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178 176.1  28.2 178.1    83  95.2  31.1 138.4   143 182.1     9    71   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  47.2 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[54]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003032669               0.239956054               0.107645164 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.95199410              0.03681101              0.28142665 
#>   grade_iii, Cure model 
#>              0.68423504 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 164   23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 86    23.81      1  58        0         1
#> 187    9.92      1  39        1         0
#> 56    12.21      1  60        0         0
#> 110   17.56      1  65        0         1
#> 159   10.55      1  50        0         1
#> 56.1  12.21      1  60        0         0
#> 30    17.43      1  78        0         0
#> 36    21.19      1  48        0         1
#> 43    12.10      1  61        0         1
#> 111   17.45      1  47        0         1
#> 41    18.02      1  40        1         0
#> 155   13.08      1  26        0         0
#> 150   20.33      1  48        0         0
#> 100   16.07      1  60        0         0
#> 10    10.53      1  34        0         0
#> 106   16.67      1  49        1         0
#> 85    16.44      1  36        0         0
#> 153   21.33      1  55        1         0
#> 58    19.34      1  39        0         0
#> 29    15.45      1  68        1         0
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 158   20.14      1  74        1         0
#> 199   19.81      1  NA        0         1
#> 177   12.53      1  75        0         0
#> 88    18.37      1  47        0         0
#> 68    20.62      1  44        0         0
#> 89    11.44      1  NA        0         0
#> 86.1  23.81      1  58        0         1
#> 52    10.42      1  52        0         1
#> 50    10.02      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 6     15.64      1  39        0         0
#> 13    14.34      1  54        0         1
#> 167   15.55      1  56        1         0
#> 13.1  14.34      1  54        0         1
#> 23    16.92      1  61        0         0
#> 39    15.59      1  37        0         1
#> 168   23.72      1  70        0         0
#> 168.1 23.72      1  70        0         0
#> 139   21.49      1  63        1         0
#> 183    9.24      1  67        1         0
#> 171   16.57      1  41        0         1
#> 183.1  9.24      1  67        1         0
#> 150.1 20.33      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 55    19.34      1  69        0         1
#> 50.1  10.02      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 181   16.46      1  45        0         1
#> 79    16.23      1  54        1         0
#> 124    9.73      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 114   13.68      1  NA        0         0
#> 29.1  15.45      1  68        1         0
#> 129   23.41      1  53        1         0
#> 177.2 12.53      1  75        0         0
#> 153.1 21.33      1  55        1         0
#> 101    9.97      1  10        0         1
#> 190   20.81      1  42        1         0
#> 49    12.19      1  48        1         0
#> 199.1 19.81      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 100.2 16.07      1  60        0         0
#> 171.1 16.57      1  41        0         1
#> 183.2  9.24      1  67        1         0
#> 50.2  10.02      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 13.2  14.34      1  54        0         1
#> 157.1 15.10      1  47        0         0
#> 76    19.22      1  54        0         1
#> 6.1   15.64      1  39        0         0
#> 91     5.33      1  61        0         1
#> 179   18.63      1  42        0         0
#> 113   22.86      1  34        0         0
#> 16     8.71      1  71        0         1
#> 45    17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 63    22.77      1  31        1         0
#> 4     17.64      1  NA        0         1
#> 29.2  15.45      1  68        1         0
#> 13.3  14.34      1  54        0         1
#> 127    3.53      1  62        0         1
#> 50.3  10.02      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 197   21.60      1  69        1         0
#> 107   11.18      1  54        1         0
#> 30.1  17.43      1  78        0         0
#> 76.2  19.22      1  54        0         1
#> 184   17.77      1  38        0         0
#> 43.1  12.10      1  61        0         1
#> 175   21.91      1  43        0         0
#> 78    23.88      1  43        0         0
#> 127.1  3.53      1  62        0         1
#> 40.1  18.00      1  28        1         0
#> 40.2  18.00      1  28        1         0
#> 100.3 16.07      1  60        0         0
#> 177.3 12.53      1  75        0         0
#> 189   10.51      1  NA        1         0
#> 139.1 21.49      1  63        1         0
#> 90    20.94      1  50        0         1
#> 70     7.38      1  30        1         0
#> 43.2  12.10      1  61        0         1
#> 13.4  14.34      1  54        0         1
#> 164.1 23.60      1  76        0         1
#> 140.1 12.68      1  59        1         0
#> 180   14.82      1  37        0         0
#> 75    24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 141   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 44.1  24.00      0  56        0         0
#> 200   24.00      0  64        0         0
#> 162   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 141.1 24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 67    24.00      0  25        0         0
#> 152   24.00      0  36        0         1
#> 53    24.00      0  32        0         1
#> 116   24.00      0  58        0         1
#> 137   24.00      0  45        1         0
#> 138   24.00      0  44        1         0
#> 65    24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 74    24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 21    24.00      0  47        0         0
#> 48    24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 103   24.00      0  56        1         0
#> 122   24.00      0  66        0         0
#> 186   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 200.1 24.00      0  64        0         0
#> 138.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 2     24.00      0   9        0         0
#> 46    24.00      0  71        0         0
#> 103.1 24.00      0  56        1         0
#> 172.1 24.00      0  41        0         0
#> 7.1   24.00      0  37        1         0
#> 162.1 24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 186.1 24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 103.2 24.00      0  56        1         0
#> 35    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 165   24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 67.1  24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 17    24.00      0  38        0         1
#> 27    24.00      0  63        1         0
#> 53.1  24.00      0  32        0         1
#> 151   24.00      0  42        0         0
#> 87    24.00      0  27        0         0
#> 162.2 24.00      0  51        0         0
#> 72.1  24.00      0  40        0         1
#> 160   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 160.1 24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 182   24.00      0  35        0         0
#> 19    24.00      0  57        0         1
#> 19.1  24.00      0  57        0         1
#> 147   24.00      0  76        1         0
#> 121   24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 191   24.00      0  60        0         1
#> 62    24.00      0  71        0         0
#> 87.1  24.00      0  27        0         0
#> 172.2 24.00      0  41        0         0
#> 44.2  24.00      0  56        0         0
#> 174   24.00      0  49        1         0
#> 94.1  24.00      0  51        0         1
#> 126   24.00      0  48        0         0
#> 193   24.00      0  45        0         1
#> 17.1  24.00      0  38        0         1
#> 160.2 24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 21.1  24.00      0  47        0         0
#> 146   24.00      0  63        1         0
#> 165.1 24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 44.3  24.00      0  56        0         0
#> 1.1   24.00      0  23        1         0
#> 73.1  24.00      0  NA        0         1
#> 73.2  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.95          NA        NA      NA
#> 2 age, Cure model           0.0368        NA        NA      NA
#> 3 grade_ii, Cure model      0.281         NA        NA      NA
#> 4 grade_iii, Cure model     0.684         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00303        NA        NA      NA
#> 2 grade_ii, Survival model   0.240          NA        NA      NA
#> 3 grade_iii, Survival model  0.108          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.95199           0.03681           0.28143           0.68424  
#> 
#> Degrees of Freedom: 184 Total (i.e. Null);  181 Residual
#> Null Deviance:	    255.2 
#> Residual Deviance: 240.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.95199410       0.03681101       0.28142665       0.68423504 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003032669      0.239956054      0.107645164 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.682075325 0.048266442 0.712632004 0.014731338 0.907399994 0.783564530
#>   [7] 0.350811500 0.855550692 0.783564530 0.370656583 0.165024466 0.814479582
#>  [13] 0.360729354 0.302127503 0.702389221 0.204167461 0.470835908 0.865911276
#>  [19] 0.410603986 0.450655014 0.146078631 0.233466254 0.561359988 0.621972802
#>  [25] 0.312177167 0.223557946 0.743130328 0.292035585 0.194360413 0.014731338
#>  [31] 0.876284020 0.470835908 0.520627463 0.632226691 0.551138338 0.632226691
#>  [37] 0.400513554 0.540902905 0.030519434 0.030519434 0.126948277 0.917748501
#>  [43] 0.420670767 0.917748501 0.204167461 0.682075325 0.233466254 0.743130328
#>  [49] 0.440579186 0.460754203 0.076822669 0.886662764 0.561359988 0.066879363
#>  [55] 0.743130328 0.146078631 0.897036196 0.184614883 0.804138912 0.510433842
#>  [61] 0.470835908 0.420670767 0.917748501 0.591415045 0.632226691 0.591415045
#>  [67] 0.253032399 0.520627463 0.969075329 0.281989814 0.086812071 0.948406961
#>  [73] 0.390465886 0.722858269 0.096916562 0.561359988 0.632226691 0.979408762
#>  [79] 0.253032399 0.116916938 0.845195506 0.370656583 0.253032399 0.340917604
#>  [85] 0.814479582 0.106859243 0.004714711 0.979408762 0.312177167 0.312177167
#>  [91] 0.470835908 0.743130328 0.126948277 0.174807796 0.958750092 0.814479582
#>  [97] 0.632226691 0.048266442 0.722858269 0.611717632 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    60   164   123    86   187    56   110   159  56.1    30    36    43   111 
#> 13.15 23.60 13.00 23.81  9.92 12.21 17.56 10.55 12.21 17.43 21.19 12.10 17.45 
#>    41   155   150   100    10   106    85   153    58    29    96    40   158 
#> 18.02 13.08 20.33 16.07 10.53 16.67 16.44 21.33 19.34 15.45 14.54 18.00 20.14 
#>   177    88    68  86.1    52 100.1     6    13   167  13.1    23    39   168 
#> 12.53 18.37 20.62 23.81 10.42 16.07 15.64 14.34 15.55 14.34 16.92 15.59 23.72 
#> 168.1   139   183   171 183.1 150.1  60.1    55 177.1   181    79    92   145 
#> 23.72 21.49  9.24 16.57  9.24 20.33 13.15 19.34 12.53 16.46 16.23 22.92 10.07 
#>  29.1   129 177.2 153.1   101   190    49   125 100.2 171.1 183.2   157  13.2 
#> 15.45 23.41 12.53 21.33  9.97 20.81 12.19 15.65 16.07 16.57  9.24 15.10 14.34 
#> 157.1    76   6.1    91   179   113    16    45   140    63  29.2  13.3   127 
#> 15.10 19.22 15.64  5.33 18.63 22.86  8.71 17.42 12.68 22.77 15.45 14.34  3.53 
#>  76.1   197   107  30.1  76.2   184  43.1   175    78 127.1  40.1  40.2 100.3 
#> 19.22 21.60 11.18 17.43 19.22 17.77 12.10 21.91 23.88  3.53 18.00 18.00 16.07 
#> 177.3 139.1    90    70  43.2  13.4 164.1 140.1   180    75    44   141   102 
#> 12.53 21.49 20.94  7.38 12.10 14.34 23.60 12.68 14.82 24.00 24.00 24.00 24.00 
#>   178  44.1   200   162   135 141.1   172    67   152    53   116   137   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    65    20    74   185     7    21    48   131    72   103   122   186    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   196    34 200.1 138.1   132     2    46 103.1 172.1   7.1 162.1 186.1   120 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 103.2    35    82   165    71  67.1   161    17    27  53.1   151    87 162.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1   160     1 160.1   198   182    19  19.1   147   121   173   191    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1 172.2  44.2   174  94.1   126   193  17.1 160.2    11  21.1   146 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112  44.3   1.1 
#> 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[55]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01468591                0.83648348                0.10829799 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.077572457            -0.001185705             0.200701665 
#>   grade_iii, Cure model 
#>             0.447938212 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 79    16.23      1  54        1         0
#> 145   10.07      1  65        1         0
#> 90    20.94      1  50        0         1
#> 88    18.37      1  47        0         0
#> 68    20.62      1  44        0         0
#> 180   14.82      1  37        0         0
#> 154   12.63      1  20        1         0
#> 169   22.41      1  46        0         0
#> 60    13.15      1  38        1         0
#> 90.1  20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 14    12.89      1  21        0         0
#> 129   23.41      1  53        1         0
#> 150   20.33      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 6     15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 16     8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 180.1 14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 79.1  16.23      1  54        1         0
#> 86    23.81      1  58        0         1
#> 81    14.06      1  34        0         0
#> 60.1  13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 13    14.34      1  54        0         1
#> 169.1 22.41      1  46        0         0
#> 183    9.24      1  67        1         0
#> 68.1  20.62      1  44        0         0
#> 111   17.45      1  47        0         1
#> 195   11.76      1  NA        1         0
#> 14.1  12.89      1  21        0         0
#> 14.2  12.89      1  21        0         0
#> 136   21.83      1  43        0         1
#> 86.1  23.81      1  58        0         1
#> 14.3  12.89      1  21        0         0
#> 51    18.23      1  83        0         1
#> 199   19.81      1  NA        0         1
#> 171   16.57      1  41        0         1
#> 24    23.89      1  38        0         0
#> 123   13.00      1  44        1         0
#> 155   13.08      1  26        0         0
#> 89    11.44      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 197   21.60      1  69        1         0
#> 154.1 12.63      1  20        1         0
#> 14.4  12.89      1  21        0         0
#> 159   10.55      1  50        0         1
#> 117   17.46      1  26        0         1
#> 10    10.53      1  34        0         0
#> 175   21.91      1  43        0         0
#> 177   12.53      1  75        0         0
#> 60.2  13.15      1  38        1         0
#> 100   16.07      1  60        0         0
#> 16.1   8.71      1  71        0         1
#> 57    14.46      1  45        0         1
#> 86.2  23.81      1  58        0         1
#> 25     6.32      1  34        1         0
#> 136.1 21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 184   17.77      1  38        0         0
#> 107.1 11.18      1  54        1         0
#> 117.1 17.46      1  26        0         1
#> 110   17.56      1  65        0         1
#> 70.1   7.38      1  30        1         0
#> 15    22.68      1  48        0         0
#> 117.2 17.46      1  26        0         1
#> 68.2  20.62      1  44        0         0
#> 37    12.52      1  57        1         0
#> 134   17.81      1  47        1         0
#> 194   22.40      1  38        0         1
#> 66    22.13      1  53        0         0
#> 55    19.34      1  69        0         1
#> 153   21.33      1  55        1         0
#> 55.1  19.34      1  69        0         1
#> 56    12.21      1  60        0         0
#> 117.3 17.46      1  26        0         1
#> 58    19.34      1  39        0         0
#> 159.1 10.55      1  50        0         1
#> 40    18.00      1  28        1         0
#> 181   16.46      1  45        0         1
#> 123.1 13.00      1  44        1         0
#> 58.1  19.34      1  39        0         0
#> 117.4 17.46      1  26        0         1
#> 133.1 14.65      1  57        0         0
#> 68.3  20.62      1  44        0         0
#> 81.1  14.06      1  34        0         0
#> 117.5 17.46      1  26        0         1
#> 101    9.97      1  10        0         1
#> 154.2 12.63      1  20        1         0
#> 69    23.23      1  25        0         1
#> 114   13.68      1  NA        0         0
#> 70.2   7.38      1  30        1         0
#> 16.2   8.71      1  71        0         1
#> 24.1  23.89      1  38        0         0
#> 99    21.19      1  38        0         1
#> 194.1 22.40      1  38        0         1
#> 42    12.43      1  49        0         1
#> 133.2 14.65      1  57        0         0
#> 91     5.33      1  61        0         1
#> 66.1  22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 128   20.35      1  35        0         1
#> 52.1  10.42      1  52        0         1
#> 197.1 21.60      1  69        1         0
#> 8     18.43      1  32        0         0
#> 125   15.65      1  67        1         0
#> 195.1 11.76      1  NA        1         0
#> 94    24.00      0  51        0         1
#> 47    24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 186   24.00      0  45        1         0
#> 119   24.00      0  17        0         0
#> 73    24.00      0  NA        0         1
#> 161   24.00      0  45        0         0
#> 21    24.00      0  47        0         0
#> 2     24.00      0   9        0         0
#> 19    24.00      0  57        0         1
#> 196   24.00      0  19        0         0
#> 94.1  24.00      0  51        0         1
#> 94.2  24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 142   24.00      0  53        0         0
#> 200   24.00      0  64        0         0
#> 3     24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 54.2  24.00      0  53        1         0
#> 173   24.00      0  19        0         1
#> 17    24.00      0  38        0         1
#> 73.1  24.00      0  NA        0         1
#> 142.1 24.00      0  53        0         0
#> 62    24.00      0  71        0         0
#> 22    24.00      0  52        1         0
#> 176.1 24.00      0  43        0         1
#> 160   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 38    24.00      0  31        1         0
#> 21.1  24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 131   24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 11    24.00      0  42        0         1
#> 44    24.00      0  56        0         0
#> 54.3  24.00      0  53        1         0
#> 119.1 24.00      0  17        0         0
#> 73.2  24.00      0  NA        0         1
#> 196.1 24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 161.1 24.00      0  45        0         0
#> 82    24.00      0  34        0         0
#> 186.1 24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 38.1  24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 33.1  24.00      0  53        0         0
#> 80    24.00      0  41        0         0
#> 47.1  24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 7.1   24.00      0  37        1         0
#> 3.1   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 72.1  24.00      0  40        0         1
#> 94.3  24.00      0  51        0         1
#> 83    24.00      0   6        0         0
#> 119.2 24.00      0  17        0         0
#> 84.1  24.00      0  39        0         1
#> 176.2 24.00      0  43        0         1
#> 104   24.00      0  50        1         0
#> 94.4  24.00      0  51        0         1
#> 142.2 24.00      0  53        0         0
#> 147.1 24.00      0  76        1         0
#> 84.2  24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 83.1  24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 161.2 24.00      0  45        0         0
#> 148   24.00      0  61        1         0
#> 35    24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 142.3 24.00      0  53        0         0
#> 21.2  24.00      0  47        0         0
#> 135   24.00      0  58        1         0
#> 165   24.00      0  47        0         0
#> 83.2  24.00      0   6        0         0
#> 53    24.00      0  32        0         1
#> 84.3  24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 19.1  24.00      0  57        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0776         NA        NA      NA
#> 2 age, Cure model         -0.00119        NA        NA      NA
#> 3 grade_ii, Cure model     0.201          NA        NA      NA
#> 4 grade_iii, Cure model    0.448          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0147        NA        NA      NA
#> 2 grade_ii, Survival model    0.836         NA        NA      NA
#> 3 grade_iii, Survival model   0.108         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.077572         -0.001186          0.200702          0.447938  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 259.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.077572457     -0.001185705      0.200701665      0.447938212 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01468591       0.83648348       0.10829799 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.3580086094 0.8246432899 0.0944124757 0.2116613217 0.1152789231
#>   [6] 0.4115492998 0.6448684554 0.0222236738 0.5158243810 0.0944124757
#>  [11] 0.4336785317 0.5863042586 0.0116012694 0.1517975089 0.7389715319
#>  [16] 0.4005825592 0.0082524947 0.8748484459 0.1932277229 0.4115492998
#>  [21] 0.1082705125 0.3580086094 0.0025693469 0.4917130047 0.5158243810
#>  [26] 0.8497857100 0.4797395698 0.0222236738 0.8623045916 0.1152789231
#>  [31] 0.3264415284 0.5863042586 0.5863042586 0.0563416763 0.0025693469
#>  [36] 0.5863042586 0.2211649514 0.3368338916 0.0004476984 0.5627818089
#>  [41] 0.5507889347 0.7997415017 0.7268421759 0.0685589205 0.6448684554
#>  [46] 0.5863042586 0.7629964950 0.2695798969 0.7873786997 0.0504200863
#>  [51] 0.6792968419 0.5158243810 0.3789490110 0.8748484459 0.4679124878
#>  [56] 0.0025693469 0.9751098355 0.0563416763 0.9381881584 0.2500326909
#>  [61] 0.7389715319 0.2695798969 0.2597012851 0.9381881584 0.0183772636
#>  [66] 0.2695798969 0.1152789231 0.6911080330 0.2405214223 0.0305585641
#>  [71] 0.0398196949 0.1599130291 0.0811448751 0.1599130291 0.7148221497
#>  [76] 0.2695798969 0.1599130291 0.7629964950 0.2309506093 0.3473527474
#>  [81] 0.5627818089 0.1599130291 0.2695798969 0.4336785317 0.1152789231
#>  [86] 0.4917130047 0.2695798969 0.8372109280 0.6448684554 0.0149001863
#>  [91] 0.9381881584 0.8748484459 0.0004476984 0.0876877228 0.0305585641
#>  [96] 0.7029193527 0.4336785317 0.9875121762 0.0398196949 0.9129233537
#> [101] 0.9129233537 0.1438957355 0.7997415017 0.0685589205 0.2023658035
#> [106] 0.3897451959 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> 
#> $Time
#>    79   145    90    88    68   180   154   169    60  90.1   133    14   129 
#> 16.23 10.07 20.94 18.37 20.62 14.82 12.63 22.41 13.15 20.94 14.65 12.89 23.41 
#>   150   107     6   164    16    76 180.1    32  79.1    86    81  60.1   187 
#> 20.33 11.18 15.64 23.60  8.71 19.22 14.82 20.90 16.23 23.81 14.06 13.15  9.92 
#>    13 169.1   183  68.1   111  14.1  14.2   136  86.1  14.3    51   171    24 
#> 14.34 22.41  9.24 20.62 17.45 12.89 12.89 21.83 23.81 12.89 18.23 16.57 23.89 
#>   123   155    52    43   197 154.1  14.4   159   117    10   175   177  60.2 
#> 13.00 13.08 10.42 12.10 21.60 12.63 12.89 10.55 17.46 10.53 21.91 12.53 13.15 
#>   100  16.1    57  86.2    25 136.1    70   184 107.1 117.1   110  70.1    15 
#> 16.07  8.71 14.46 23.81  6.32 21.83  7.38 17.77 11.18 17.46 17.56  7.38 22.68 
#> 117.2  68.2    37   134   194    66    55   153  55.1    56 117.3    58 159.1 
#> 17.46 20.62 12.52 17.81 22.40 22.13 19.34 21.33 19.34 12.21 17.46 19.34 10.55 
#>    40   181 123.1  58.1 117.4 133.1  68.3  81.1 117.5   101 154.2    69  70.2 
#> 18.00 16.46 13.00 19.34 17.46 14.65 20.62 14.06 17.46  9.97 12.63 23.23  7.38 
#>  16.2  24.1    99 194.1    42 133.2    91  66.1   149 149.1   128  52.1 197.1 
#>  8.71 23.89 21.19 22.40 12.43 14.65  5.33 22.13  8.37  8.37 20.35 10.42 21.60 
#>     8   125    94    47   162   191   147   176   186   119   161    21     2 
#> 18.43 15.65 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   196  94.1  94.2    54   142   200     3  54.1  54.2   173    17 142.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    22 176.1   160    72    38  21.1    12   131    84    11    44  54.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 119.1 196.1    33    65 161.1    82 186.1   143  38.1     7  33.1    80  47.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   7.1   3.1   122    95   152  72.1  94.3    83 119.2  84.1 176.2   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.4 142.2 147.1  84.2   146  83.1     9    64 161.2   148    35  28.1 142.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2   135   165  83.2    53  84.3   109  19.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[56]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006035963               0.667353278               0.198650332 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.53046764              0.01037109             -0.02192299 
#>   grade_iii, Cure model 
#>              0.70432694 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 90    20.94      1  50        0         1
#> 14    12.89      1  21        0         0
#> 13    14.34      1  54        0         1
#> 42    12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 127    3.53      1  62        0         1
#> 97    19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 97.1  19.14      1  65        0         1
#> 139   21.49      1  63        1         0
#> 37    12.52      1  57        1         0
#> 43    12.10      1  61        0         1
#> 10    10.53      1  34        0         0
#> 125   15.65      1  67        1         0
#> 130   16.47      1  53        0         1
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 170   19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 70     7.38      1  30        1         0
#> 78    23.88      1  43        0         0
#> 189   10.51      1  NA        1         0
#> 81    14.06      1  34        0         0
#> 56    12.21      1  60        0         0
#> 55    19.34      1  69        0         1
#> 30    17.43      1  78        0         0
#> 195.1 11.76      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 97.2  19.14      1  65        0         1
#> 140   12.68      1  59        1         0
#> 13.1  14.34      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 127.1  3.53      1  62        0         1
#> 85    16.44      1  36        0         0
#> 6.1   15.64      1  39        0         0
#> 59    10.16      1  NA        1         0
#> 123   13.00      1  44        1         0
#> 6.2   15.64      1  39        0         0
#> 153   21.33      1  55        1         0
#> 169   22.41      1  46        0         0
#> 13.2  14.34      1  54        0         1
#> 153.1 21.33      1  55        1         0
#> 153.2 21.33      1  55        1         0
#> 199   19.81      1  NA        0         1
#> 4     17.64      1  NA        0         1
#> 78.2  23.88      1  43        0         0
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 61    10.12      1  36        0         1
#> 195.2 11.76      1  NA        1         0
#> 190.1 20.81      1  42        1         0
#> 90.1  20.94      1  50        0         1
#> 153.3 21.33      1  55        1         0
#> 106   16.67      1  49        1         0
#> 97.3  19.14      1  65        0         1
#> 130.1 16.47      1  53        0         1
#> 149    8.37      1  33        1         0
#> 99    21.19      1  38        0         1
#> 78.3  23.88      1  43        0         0
#> 92    22.92      1  47        0         1
#> 93    10.33      1  52        0         1
#> 181   16.46      1  45        0         1
#> 92.1  22.92      1  47        0         1
#> 30.1  17.43      1  78        0         0
#> 15    22.68      1  48        0         0
#> 171.1 16.57      1  41        0         1
#> 125.1 15.65      1  67        1         0
#> 155   13.08      1  26        0         0
#> 197   21.60      1  69        1         0
#> 136   21.83      1  43        0         1
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 88    18.37      1  47        0         0
#> 164   23.60      1  76        0         1
#> 125.2 15.65      1  67        1         0
#> 10.1  10.53      1  34        0         0
#> 23    16.92      1  61        0         0
#> 108   18.29      1  39        0         1
#> 88.1  18.37      1  47        0         0
#> 79    16.23      1  54        1         0
#> 85.1  16.44      1  36        0         0
#> 79.1  16.23      1  54        1         0
#> 86    23.81      1  58        0         1
#> 107   11.18      1  54        1         0
#> 177   12.53      1  75        0         0
#> 49    12.19      1  48        1         0
#> 6.3   15.64      1  39        0         0
#> 37.1  12.52      1  57        1         0
#> 30.2  17.43      1  78        0         0
#> 91.1   5.33      1  61        0         1
#> 179   18.63      1  42        0         0
#> 136.1 21.83      1  43        0         1
#> 140.1 12.68      1  59        1         0
#> 45    17.42      1  54        0         1
#> 18    15.21      1  49        1         0
#> 169.1 22.41      1  46        0         0
#> 69    23.23      1  25        0         1
#> 16     8.71      1  71        0         1
#> 128.1 20.35      1  35        0         1
#> 92.2  22.92      1  47        0         1
#> 60    13.15      1  38        1         0
#> 187    9.92      1  39        1         0
#> 159   10.55      1  50        0         1
#> 150   20.33      1  48        0         0
#> 86.1  23.81      1  58        0         1
#> 180   14.82      1  37        0         0
#> 6.4   15.64      1  39        0         0
#> 93.1  10.33      1  52        0         1
#> 66    22.13      1  53        0         0
#> 10.2  10.53      1  34        0         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 53    24.00      0  32        0         1
#> 109   24.00      0  48        0         0
#> 33    24.00      0  53        0         0
#> 147   24.00      0  76        1         0
#> 38    24.00      0  31        1         0
#> 35    24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 33.1  24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 102   24.00      0  49        0         0
#> 27    24.00      0  63        1         0
#> 147.1 24.00      0  76        1         0
#> 152   24.00      0  36        0         1
#> 186   24.00      0  45        1         0
#> 71    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 21    24.00      0  47        0         0
#> 54    24.00      0  53        1         0
#> 132   24.00      0  55        0         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 162   24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 186.1 24.00      0  45        1         0
#> 102.1 24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 198.1 24.00      0  66        0         1
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 38.1  24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 67    24.00      0  25        0         0
#> 64    24.00      0  43        0         0
#> 172   24.00      0  41        0         0
#> 193.1 24.00      0  45        0         1
#> 182   24.00      0  35        0         0
#> 31    24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 165.1 24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 138   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 148   24.00      0  61        1         0
#> 143.1 24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 122   24.00      0  66        0         0
#> 12.1  24.00      0  63        0         0
#> 9     24.00      0  31        1         0
#> 73    24.00      0  NA        0         1
#> 147.2 24.00      0  76        1         0
#> 120   24.00      0  68        0         1
#> 47    24.00      0  38        0         1
#> 12.2  24.00      0  63        0         0
#> 19    24.00      0  57        0         1
#> 84.1  24.00      0  39        0         1
#> 138.1 24.00      0  44        1         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 73.1  24.00      0  NA        0         1
#> 185.1 24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 109.1 24.00      0  48        0         0
#> 143.2 24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 178.1 24.00      0  52        1         0
#> 17    24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 64.1  24.00      0  43        0         0
#> 120.1 24.00      0  68        0         1
#> 165.2 24.00      0  47        0         0
#> 94.1  24.00      0  51        0         1
#> 173   24.00      0  19        0         1
#> 44    24.00      0  56        0         0
#> 7     24.00      0  37        1         0
#> 22.1  24.00      0  52        1         0
#> 95.1  24.00      0  68        0         1
#> 126   24.00      0  48        0         0
#> 95.2  24.00      0  68        0         1
#> 182.1 24.00      0  35        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.530         NA        NA      NA
#> 2 age, Cure model           0.0104        NA        NA      NA
#> 3 grade_ii, Cure model     -0.0219        NA        NA      NA
#> 4 grade_iii, Cure model     0.704         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00604        NA        NA      NA
#> 2 grade_ii, Survival model   0.667          NA        NA      NA
#> 3 grade_iii, Survival model  0.199          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.53047           0.01037          -0.02192           0.70433  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 256.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.53046764       0.01037109      -0.02192299       0.70432694 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006035963      0.667353278      0.198650332 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.241342158 0.730225015 0.661511701 0.788351917 0.304938077 0.980969905
#>   [7] 0.332807382 0.332807382 0.186326061 0.769127322 0.817418074 0.846385996
#>  [13] 0.565131709 0.486023929 0.555224718 0.593888215 0.314199597 0.952495817
#>  [19] 0.466393410 0.123896682 0.942936525 0.008901206 0.690783027 0.798034535
#>  [25] 0.323477293 0.407525243 0.277830114 0.332807382 0.740042184 0.661511701
#>  [31] 0.008901206 0.980969905 0.515718169 0.593888215 0.720423535 0.593888215
#>  [37] 0.196611887 0.104342400 0.661511701 0.196611887 0.196611887 0.008901206
#>  [43] 0.259913859 0.961999082 0.894532341 0.259913859 0.241342158 0.196611887
#>  [49] 0.456492769 0.332807382 0.486023929 0.933316157 0.231943104 0.008901206
#>  [55] 0.068656194 0.875181818 0.505745504 0.068656194 0.407525243 0.094532622
#>  [61] 0.466393410 0.565131709 0.710555673 0.175848087 0.155176506 0.144560148
#>  [67] 0.904262456 0.378812988 0.049343231 0.565131709 0.846385996 0.446494551
#>  [73] 0.397870902 0.378812988 0.535619599 0.515718169 0.535619599 0.032541907
#>  [79] 0.827101023 0.759360441 0.807752981 0.593888215 0.769127322 0.407525243
#>  [85] 0.961999082 0.369281140 0.155176506 0.740042184 0.436564829 0.641838011
#>  [91] 0.104342400 0.059036471 0.923636217 0.277830114 0.068656194 0.700707677
#>  [97] 0.913977069 0.836738064 0.295761254 0.032541907 0.651659995 0.593888215
#> [103] 0.875181818 0.134119334 0.846385996 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    90    14    13    42   105   127    97  97.1   139    37    43    10   125 
#> 20.94 12.89 14.34 12.43 19.75  3.53 19.14 19.14 21.49 12.52 12.10 10.53 15.65 
#>   130    26     6   170    25   171   194    70    78    81    56    55    30 
#> 16.47 15.77 15.64 19.54  6.32 16.57 22.40  7.38 23.88 14.06 12.21 19.34 17.43 
#>   128  97.2   140  13.1  78.1 127.1    85   6.1   123   6.2   153   169  13.2 
#> 20.35 19.14 12.68 14.34 23.88  3.53 16.44 15.64 13.00 15.64 21.33 22.41 14.34 
#> 153.1 153.2  78.2   190    91    61 190.1  90.1 153.3   106  97.3 130.1   149 
#> 21.33 21.33 23.88 20.81  5.33 10.12 20.81 20.94 21.33 16.67 19.14 16.47  8.37 
#>    99  78.3    92    93   181  92.1  30.1    15 171.1 125.1   155   197   136 
#> 21.19 23.88 22.92 10.33 16.46 22.92 17.43 22.68 16.57 15.65 13.08 21.60 21.83 
#>   175   101    88   164 125.2  10.1    23   108  88.1    79  85.1  79.1    86 
#> 21.91  9.97 18.37 23.60 15.65 10.53 16.92 18.29 18.37 16.23 16.44 16.23 23.81 
#>   107   177    49   6.3  37.1  30.2  91.1   179 136.1 140.1    45    18 169.1 
#> 11.18 12.53 12.19 15.64 12.52 17.43  5.33 18.63 21.83 12.68 17.42 15.21 22.41 
#>    69    16 128.1  92.2    60   187   159   150  86.1   180   6.4  93.1    66 
#> 23.23  8.71 20.35 22.92 13.15  9.92 10.55 20.33 23.81 14.82 15.64 10.33 22.13 
#>  10.2    94   198    53   109    33   147    38    35    11  33.1    87   102 
#> 10.53 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27 147.1   152   186    71    48    22    82    21    54   132   104   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    98   160   162  98.1 186.1 102.1   185 198.1   193   116  38.1  54.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    64   172 193.1   182    31   165 165.1    12    83   138    84   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148 143.1    95   122  12.1     9 147.2   120    47  12.2    19  84.1 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   178 185.1  87.1 109.1 143.2   161 178.1    17   196  64.1 120.1 165.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1   173    44     7  22.1  95.1   126  95.2 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[57]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.008864072               0.803679603               0.559381508 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.97501686              0.01837444              0.12028082 
#>   grade_iii, Cure model 
#>              0.96825482 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 24    23.89      1  38        0         0
#> 136   21.83      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 79    16.23      1  54        1         0
#> 4     17.64      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 78    23.88      1  43        0         0
#> 56    12.21      1  60        0         0
#> 96    14.54      1  33        0         1
#> 42    12.43      1  49        0         1
#> 150   20.33      1  48        0         0
#> 140   12.68      1  59        1         0
#> 4.1   17.64      1  NA        0         1
#> 124    9.73      1  NA        1         0
#> 188   16.16      1  46        0         1
#> 149    8.37      1  33        1         0
#> 187    9.92      1  39        1         0
#> 42.1  12.43      1  49        0         1
#> 59    10.16      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 154   12.63      1  20        1         0
#> 6     15.64      1  39        0         0
#> 93    10.33      1  52        0         1
#> 140.1 12.68      1  59        1         0
#> 124.2  9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 177   12.53      1  75        0         0
#> 134   17.81      1  47        1         0
#> 134.1 17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 24.1  23.89      1  38        0         0
#> 45    17.42      1  54        0         1
#> 124.3  9.73      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 68    20.62      1  44        0         0
#> 99    21.19      1  38        0         1
#> 108   18.29      1  39        0         1
#> 92.1  22.92      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 100   16.07      1  60        0         0
#> 107   11.18      1  54        1         0
#> 81    14.06      1  34        0         0
#> 179   18.63      1  42        0         0
#> 61    10.12      1  36        0         1
#> 179.1 18.63      1  42        0         0
#> 184   17.77      1  38        0         0
#> 42.2  12.43      1  49        0         1
#> 29    15.45      1  68        1         0
#> 180   14.82      1  37        0         0
#> 150.1 20.33      1  48        0         0
#> 164   23.60      1  76        0         1
#> 105   19.75      1  60        0         0
#> 125   15.65      1  67        1         0
#> 188.1 16.16      1  46        0         1
#> 52    10.42      1  52        0         1
#> 91     5.33      1  61        0         1
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 79.1  16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 14    12.89      1  21        0         0
#> 79.2  16.23      1  54        1         0
#> 36    21.19      1  48        0         1
#> 154.1 12.63      1  20        1         0
#> 85    16.44      1  36        0         0
#> 171   16.57      1  41        0         1
#> 57.1  14.46      1  45        0         1
#> 5     16.43      1  51        0         1
#> 136.1 21.83      1  43        0         1
#> 168   23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 189   10.51      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 184.1 17.77      1  38        0         0
#> 49    12.19      1  48        1         0
#> 58    19.34      1  39        0         0
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 170   19.54      1  43        0         1
#> 100.1 16.07      1  60        0         0
#> 140.2 12.68      1  59        1         0
#> 134.2 17.81      1  47        1         0
#> 179.2 18.63      1  42        0         0
#> 69    23.23      1  25        0         1
#> 93.1  10.33      1  52        0         1
#> 70     7.38      1  30        1         0
#> 63.1  22.77      1  31        1         0
#> 68.1  20.62      1  44        0         0
#> 13    14.34      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 177.2 12.53      1  75        0         0
#> 183    9.24      1  67        1         0
#> 133   14.65      1  57        0         0
#> 79.3  16.23      1  54        1         0
#> 123   13.00      1  44        1         0
#> 96.1  14.54      1  33        0         1
#> 197   21.60      1  69        1         0
#> 66    22.13      1  53        0         0
#> 139   21.49      1  63        1         0
#> 76    19.22      1  54        0         1
#> 43.1  12.10      1  61        0         1
#> 78.1  23.88      1  43        0         0
#> 78.2  23.88      1  43        0         0
#> 32    20.90      1  37        1         0
#> 167   15.55      1  56        1         0
#> 190   20.81      1  42        1         0
#> 167.1 15.55      1  56        1         0
#> 59.1  10.16      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 154.2 12.63      1  20        1         0
#> 66.1  22.13      1  53        0         0
#> 84    24.00      0  39        0         1
#> 20    24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 131   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 200   24.00      0  64        0         0
#> 64    24.00      0  43        0         0
#> 21    24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 131.1 24.00      0  66        0         0
#> 44    24.00      0  56        0         0
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 152   24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 1.1   24.00      0  23        1         0
#> 176   24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 98    24.00      0  34        1         0
#> 71    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 33    24.00      0  53        0         0
#> 38    24.00      0  31        1         0
#> 148   24.00      0  61        1         0
#> 72    24.00      0  40        0         1
#> 38.1  24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 173   24.00      0  19        0         1
#> 109   24.00      0  48        0         0
#> 196   24.00      0  19        0         0
#> 73    24.00      0  NA        0         1
#> 21.1  24.00      0  47        0         0
#> 44.1  24.00      0  56        0         0
#> 119   24.00      0  17        0         0
#> 122   24.00      0  66        0         0
#> 148.1 24.00      0  61        1         0
#> 2     24.00      0   9        0         0
#> 48.1  24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 84.1  24.00      0  39        0         1
#> 103   24.00      0  56        1         0
#> 156   24.00      0  50        1         0
#> 176.1 24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 142   24.00      0  53        0         0
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 132   24.00      0  55        0         0
#> 165   24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 9.1   24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 9.2   24.00      0  31        1         0
#> 22.1  24.00      0  52        1         0
#> 33.1  24.00      0  53        0         0
#> 161   24.00      0  45        0         0
#> 22.2  24.00      0  52        1         0
#> 137   24.00      0  45        1         0
#> 191   24.00      0  60        0         1
#> 196.1 24.00      0  19        0         0
#> 3.1   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 21.2  24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 74    24.00      0  43        0         1
#> 115.1 24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 131.2 24.00      0  66        0         0
#> 71.1  24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 104   24.00      0  50        1         0
#> 161.1 24.00      0  45        0         0
#> 122.1 24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 65.1  24.00      0  57        1         0
#> 67.1  24.00      0  25        0         0
#> 174   24.00      0  49        1         0
#> 54    24.00      0  53        1         0
#> 109.1 24.00      0  48        0         0
#> 172.1 24.00      0  41        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.975         NA        NA      NA
#> 2 age, Cure model           0.0184        NA        NA      NA
#> 3 grade_ii, Cure model      0.120         NA        NA      NA
#> 4 grade_iii, Cure model     0.968         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00886        NA        NA      NA
#> 2 grade_ii, Survival model   0.804          NA        NA      NA
#> 3 grade_iii, Survival model  0.559          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.97502           0.01837           0.12028           0.96825  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 247.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.97501686       0.01837444       0.12028082       0.96825482 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.008864072      0.803679603      0.559381508 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.08654009 0.44441378 0.73642132 0.49525969 0.17673203 0.93050762
#>   [7] 0.82408790 0.91731083 0.57320192 0.86576722 0.76092381 0.98844587
#>  [13] 0.97663279 0.91731083 0.34739020 0.88026195 0.79069870 0.95622069
#>  [19] 0.86576722 0.70156559 0.89436944 0.65774268 0.65774268 0.56412488
#>  [25] 0.08654009 0.69435698 0.93926839 0.54570950 0.50618312 0.64967561
#>  [31] 0.34739020 0.97663279 0.77295686 0.94780108 0.85039492 0.62533427
#>  [37] 0.96446096 0.62533427 0.67973930 0.91731083 0.80768544 0.81317045
#>  [43] 0.57320192 0.29951776 0.59091714 0.78485983 0.76092381 0.95202739
#>  [49] 0.99617798 0.38397230 0.83475650 0.73642132 0.86067089 0.73642132
#>  [55] 0.50618312 0.88026195 0.72270761 0.70872147 0.83475650 0.72962083
#>  [61] 0.44441378 0.26819391 0.71576943 0.89436944 0.67973930 0.93491282
#>  [67] 0.60838140 0.90826993 0.97260333 0.59974851 0.77295686 0.86576722
#>  [73] 0.65774268 0.62533427 0.32449604 0.95622069 0.99232634 0.38397230
#>  [79] 0.54570950 0.84521037 0.90826993 0.89436944 0.98453480 0.81864114
#>  [85] 0.73642132 0.85556837 0.82408790 0.47119553 0.41485203 0.48366170
#>  [91] 0.61696401 0.93926839 0.17673203 0.17673203 0.52644192 0.79651982
#>  [97] 0.53626957 0.79651982 0.96446096 0.88026195 0.41485203 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    24   136    79   153    78    56    96    42   150   140   188   149   187 
#> 23.89 21.83 16.23 21.33 23.88 12.21 14.54 12.43 20.33 12.68 16.16  8.37  9.92 
#>  42.1    92   154     6    93 140.1    23   177   134 134.1   128  24.1    45 
#> 12.43 22.92 12.63 15.64 10.33 12.68 16.92 12.53 17.81 17.81 20.35 23.89 17.42 
#>    43    68    99   108  92.1 187.1   100   107    81   179    61 179.1   184 
#> 12.10 20.62 21.19 18.29 22.92  9.92 16.07 11.18 14.06 18.63 10.12 18.63 17.77 
#>  42.2    29   180 150.1   164   105   125 188.1    52    91    63    57  79.1 
#> 12.43 15.45 14.82 20.33 23.60 19.75 15.65 16.16 10.42  5.33 22.77 14.46 16.23 
#>    14  79.2    36 154.1    85   171  57.1     5 136.1   168   181 177.1 184.1 
#> 12.89 16.23 21.19 12.63 16.44 16.57 14.46 16.43 21.83 23.72 16.46 12.53 17.77 
#>    49    58    37   145   170 100.1 140.2 134.2 179.2    69  93.1    70  63.1 
#> 12.19 19.34 12.52 10.07 19.54 16.07 12.68 17.81 18.63 23.23 10.33  7.38 22.77 
#>  68.1    13  37.1 177.2   183   133  79.3   123  96.1   197    66   139    76 
#> 20.62 14.34 12.52 12.53  9.24 14.65 16.23 13.00 14.54 21.60 22.13 21.49 19.22 
#>  43.1  78.1  78.2    32   167   190 167.1  61.1 154.2  66.1    84    20   135 
#> 12.10 23.88 23.88 20.90 15.55 20.81 15.55 10.12 12.63 22.13 24.00 24.00 24.00 
#>    48  20.1   131     3 135.1   200    64    21    47   162 131.1    44    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   172     1     9    17    31   1.1   176    65    98    71   160    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38   148    72  38.1    75   173   109   196  21.1  44.1   119   122 148.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2  48.1    19  84.1   103   156 176.1  12.1   142   118    22   132   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   9.1 142.1   9.2  22.1  33.1   161  22.2   137   191 196.1   3.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  21.2   178    74  47.1 131.2  71.1 191.1   104 161.1 122.1    67  65.1  67.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    54 109.1 172.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[58]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009257411               0.297747039               0.546304367 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.60021128              0.02854102              0.11885744 
#>   grade_iii, Cure model 
#>              1.12965580 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 14    12.89      1  21        0         0
#> 127    3.53      1  62        0         1
#> 133   14.65      1  57        0         0
#> 125   15.65      1  67        1         0
#> 136   21.83      1  43        0         1
#> 96    14.54      1  33        0         1
#> 110   17.56      1  65        0         1
#> 42    12.43      1  49        0         1
#> 25     6.32      1  34        1         0
#> 139   21.49      1  63        1         0
#> 30.1  17.43      1  78        0         0
#> 57    14.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 57.1  14.46      1  45        0         1
#> 108   18.29      1  39        0         1
#> 18    15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 100   16.07      1  60        0         0
#> 81    14.06      1  34        0         0
#> 30.2  17.43      1  78        0         0
#> 13    14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 57.2  14.46      1  45        0         1
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 195   11.76      1  NA        1         0
#> 111   17.45      1  47        0         1
#> 26    15.77      1  49        0         1
#> 157   15.10      1  47        0         0
#> 164   23.60      1  76        0         1
#> 155   13.08      1  26        0         0
#> 32    20.90      1  37        1         0
#> 29    15.45      1  68        1         0
#> 108.1 18.29      1  39        0         1
#> 59.1  10.16      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 153   21.33      1  55        1         0
#> 30.3  17.43      1  78        0         0
#> 108.2 18.29      1  39        0         1
#> 195.1 11.76      1  NA        1         0
#> 59.2  10.16      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 192   16.44      1  31        1         0
#> 78.1  23.88      1  43        0         0
#> 99    21.19      1  38        0         1
#> 26.1  15.77      1  49        0         1
#> 123   13.00      1  44        1         0
#> 159   10.55      1  50        0         1
#> 107   11.18      1  54        1         0
#> 127.1  3.53      1  62        0         1
#> 181   16.46      1  45        0         1
#> 166   19.98      1  48        0         0
#> 127.2  3.53      1  62        0         1
#> 192.1 16.44      1  31        1         0
#> 187    9.92      1  39        1         0
#> 168   23.72      1  70        0         0
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 179   18.63      1  42        0         0
#> 190.1 20.81      1  42        1         0
#> 105   19.75      1  60        0         0
#> 130   16.47      1  53        0         1
#> 97    19.14      1  65        0         1
#> 168.1 23.72      1  70        0         0
#> 30.4  17.43      1  78        0         0
#> 51    18.23      1  83        0         1
#> 180   14.82      1  37        0         0
#> 78.2  23.88      1  43        0         0
#> 154   12.63      1  20        1         0
#> 77     7.27      1  67        0         1
#> 130.1 16.47      1  53        0         1
#> 51.1  18.23      1  83        0         1
#> 97.1  19.14      1  65        0         1
#> 130.2 16.47      1  53        0         1
#> 158.1 20.14      1  74        1         0
#> 197   21.60      1  69        1         0
#> 159.1 10.55      1  50        0         1
#> 197.1 21.60      1  69        1         0
#> 145   10.07      1  65        1         0
#> 195.2 11.76      1  NA        1         0
#> 181.1 16.46      1  45        0         1
#> 199   19.81      1  NA        0         1
#> 105.1 19.75      1  60        0         0
#> 96.1  14.54      1  33        0         1
#> 188   16.16      1  46        0         1
#> 129.1 23.41      1  53        1         0
#> 89    11.44      1  NA        0         0
#> 128   20.35      1  35        0         1
#> 91     5.33      1  61        0         1
#> 145.1 10.07      1  65        1         0
#> 91.1   5.33      1  61        0         1
#> 145.2 10.07      1  65        1         0
#> 117   17.46      1  26        0         1
#> 149    8.37      1  33        1         0
#> 96.2  14.54      1  33        0         1
#> 32.1  20.90      1  37        1         0
#> 40    18.00      1  28        1         0
#> 96.3  14.54      1  33        0         1
#> 180.1 14.82      1  37        0         0
#> 88    18.37      1  47        0         0
#> 56    12.21      1  60        0         0
#> 177.1 12.53      1  75        0         0
#> 164.1 23.60      1  76        0         1
#> 101    9.97      1  10        0         1
#> 192.2 16.44      1  31        1         0
#> 125.1 15.65      1  67        1         0
#> 51.2  18.23      1  83        0         1
#> 133.1 14.65      1  57        0         0
#> 3     24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 53    24.00      0  32        0         1
#> 126   24.00      0  48        0         0
#> 83    24.00      0   6        0         0
#> 152   24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 20    24.00      0  46        1         0
#> 135   24.00      0  58        1         0
#> 71    24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 7     24.00      0  37        1         0
#> 120   24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 87    24.00      0  27        0         0
#> 94    24.00      0  51        0         1
#> 156   24.00      0  50        1         0
#> 2     24.00      0   9        0         0
#> 1     24.00      0  23        1         0
#> 7.1   24.00      0  37        1         0
#> 27    24.00      0  63        1         0
#> 174   24.00      0  49        1         0
#> 131   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 48    24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 71.1  24.00      0  51        0         0
#> 87.1  24.00      0  27        0         0
#> 98    24.00      0  34        1         0
#> 120.1 24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 182   24.00      0  35        0         0
#> 186.1 24.00      0  45        1         0
#> 33    24.00      0  53        0         0
#> 87.2  24.00      0  27        0         0
#> 3.1   24.00      0  31        1         0
#> 182.1 24.00      0  35        0         0
#> 172   24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 54    24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 65    24.00      0  57        1         0
#> 48.1  24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 148   24.00      0  61        1         0
#> 64.1  24.00      0  43        0         0
#> 186.2 24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 67.1  24.00      0  25        0         0
#> 186.3 24.00      0  45        1         0
#> 103   24.00      0  56        1         0
#> 122.1 24.00      0  66        0         0
#> 126.1 24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 118   24.00      0  44        1         0
#> 182.2 24.00      0  35        0         0
#> 104   24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 82    24.00      0  34        0         0
#> 98.1  24.00      0  34        1         0
#> 98.2  24.00      0  34        1         0
#> 71.2  24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 198   24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 84.1  24.00      0  39        0         1
#> 98.3  24.00      0  34        1         0
#> 83.1  24.00      0   6        0         0
#> 147   24.00      0  76        1         0
#> 11    24.00      0  42        0         1
#> 116   24.00      0  58        0         1
#> 126.2 24.00      0  48        0         0
#> 87.3  24.00      0  27        0         0
#> 27.1  24.00      0  63        1         0
#> 112.1 24.00      0  61        0         0
#> 98.4  24.00      0  34        1         0
#> 126.3 24.00      0  48        0         0
#> 54.1  24.00      0  53        1         0
#> 122.2 24.00      0  66        0         0
#> 72    24.00      0  40        0         1
#> 95    24.00      0  68        0         1
#> 38    24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.60          NA        NA      NA
#> 2 age, Cure model           0.0285        NA        NA      NA
#> 3 grade_ii, Cure model      0.119         NA        NA      NA
#> 4 grade_iii, Cure model     1.13          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00926        NA        NA      NA
#> 2 grade_ii, Survival model   0.298          NA        NA      NA
#> 3 grade_iii, Survival model  0.546          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.60021           0.02854           0.11886           1.12966  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 244.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.60021128       0.02854102       0.11885744       1.12965580 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009257411      0.297747039      0.546304367 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.337442083 0.734439004 0.968177579 0.600178139 0.517640001 0.056574077
#>   [7] 0.621313607 0.308183353 0.787063696 0.936150927 0.080615734 0.337442083
#>  [13] 0.662123717 0.787063696 0.662123717 0.232766813 0.558603951 0.149377710
#>  [19] 0.003197491 0.487223009 0.703140390 0.337442083 0.692775867 0.914737827
#>  [25] 0.662123717 0.123707598 0.538040548 0.327747562 0.497458779 0.568940408
#>  [31] 0.027240148 0.713546335 0.106892180 0.548295029 0.232766813 0.386645542
#>  [37] 0.089320409 0.337442083 0.232766813 0.298364411 0.447206320 0.003197491
#>  [43] 0.098190372 0.497458779 0.723984846 0.829508951 0.818813832 0.968177579
#>  [49] 0.427049031 0.166807738 0.968177579 0.447206320 0.893329473 0.014172632
#>  [55] 0.041429007 0.765928228 0.744919521 0.213218406 0.123707598 0.175939103
#>  [61] 0.396978839 0.194529956 0.014172632 0.337442083 0.260404069 0.579343548
#>  [67] 0.003197491 0.755432577 0.925439962 0.396978839 0.260404069 0.194529956
#>  [73] 0.396978839 0.149377710 0.064553619 0.829508951 0.064553619 0.850714054
#>  [79] 0.427049031 0.175939103 0.621313607 0.477078075 0.041429007 0.140727699
#>  [85] 0.946863960 0.850714054 0.946863960 0.850714054 0.318019218 0.904033160
#>  [91] 0.621313607 0.106892180 0.288640393 0.621313607 0.579343548 0.222916993
#>  [97] 0.808144221 0.765928228 0.027240148 0.882633647 0.447206320 0.517640001
#> [103] 0.260404069 0.600178139 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    30    14   127   133   125   136    96   110    42    25   139  30.1    57 
#> 17.43 12.89  3.53 14.65 15.65 21.83 14.54 17.56 12.43  6.32 21.49 17.43 14.46 
#>  42.1  57.1   108    18   158    78   100    81  30.2    13    70  57.2   190 
#> 12.43 14.46 18.29 15.21 20.14 23.88 16.07 14.06 17.43 14.34  7.38 14.46 20.81 
#>    39   111    26   157   164   155    32    29 108.1   171   153  30.3 108.2 
#> 15.59 17.45 15.77 15.10 23.60 13.08 20.90 15.45 18.29 16.57 21.33 17.43 18.29 
#>   184   192  78.1    99  26.1   123   159   107 127.1   181   166 127.2 192.1 
#> 17.77 16.44 23.88 21.19 15.77 13.00 10.55 11.18  3.53 16.46 19.98  3.53 16.44 
#>   187   168   129   177   140   179 190.1   105   130    97 168.1  30.4    51 
#>  9.92 23.72 23.41 12.53 12.68 18.63 20.81 19.75 16.47 19.14 23.72 17.43 18.23 
#>   180  78.2   154    77 130.1  51.1  97.1 130.2 158.1   197 159.1 197.1   145 
#> 14.82 23.88 12.63  7.27 16.47 18.23 19.14 16.47 20.14 21.60 10.55 21.60 10.07 
#> 181.1 105.1  96.1   188 129.1   128    91 145.1  91.1 145.2   117   149  96.2 
#> 16.46 19.75 14.54 16.16 23.41 20.35  5.33 10.07  5.33 10.07 17.46  8.37 14.54 
#>  32.1    40  96.3 180.1    88    56 177.1 164.1   101 192.2 125.1  51.2 133.1 
#> 20.90 18.00 14.54 14.82 18.37 12.21 12.53 23.60  9.97 16.44 15.65 18.23 14.65 
#>     3   122   165    53   126    83   152   132    20   135    71   196     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   120    74    19    28    87    94   156     2     1   7.1    27   174   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    48 152.1   138   141  71.1  87.1    98 120.1   186   182 186.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.2   3.1 182.1   172    64    54   163    65  48.1   178   148  64.1 186.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   144  67.1 186.3   103 122.1 126.1   191   118 182.2   104    21   112    82 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1  98.2  71.2    47   198    84  84.1  98.3  83.1   147    11   116 126.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.3  27.1 112.1  98.4 126.3  54.1 122.2    72    95    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[59]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005043522               0.626585431               0.215449229 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.634767502             0.008465019             0.236196471 
#>   grade_iii, Cure model 
#>             0.936216476 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 179   18.63      1  42        0         0
#> 42    12.43      1  49        0         1
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 166   19.98      1  48        0         0
#> 97    19.14      1  65        0         1
#> 51    18.23      1  83        0         1
#> 23    16.92      1  61        0         0
#> 89    11.44      1  NA        0         0
#> 175   21.91      1  43        0         0
#> 189   10.51      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 93.1  10.33      1  52        0         1
#> 8     18.43      1  32        0         0
#> 89.1  11.44      1  NA        0         0
#> 40.1  18.00      1  28        1         0
#> 81    14.06      1  34        0         0
#> 37    12.52      1  57        1         0
#> 37.1  12.52      1  57        1         0
#> 39    15.59      1  37        0         1
#> 133   14.65      1  57        0         0
#> 153   21.33      1  55        1         0
#> 85    16.44      1  36        0         0
#> 61    10.12      1  36        0         1
#> 29    15.45      1  68        1         0
#> 177   12.53      1  75        0         0
#> 184   17.77      1  38        0         0
#> 192   16.44      1  31        1         0
#> 57    14.46      1  45        0         1
#> 39.1  15.59      1  37        0         1
#> 16     8.71      1  71        0         1
#> 180   14.82      1  37        0         0
#> 184.1 17.77      1  38        0         0
#> 77     7.27      1  67        0         1
#> 195   11.76      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 133.1 14.65      1  57        0         0
#> 81.1  14.06      1  34        0         0
#> 15    22.68      1  48        0         0
#> 188   16.16      1  46        0         1
#> 45    17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 15.1  22.68      1  48        0         0
#> 96    14.54      1  33        0         1
#> 169   22.41      1  46        0         0
#> 195.1 11.76      1  NA        1         0
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 36    21.19      1  48        0         1
#> 81.2  14.06      1  34        0         0
#> 183    9.24      1  67        1         0
#> 92.1  22.92      1  47        0         1
#> 56    12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 39.2  15.59      1  37        0         1
#> 159   10.55      1  50        0         1
#> 175.1 21.91      1  43        0         0
#> 107   11.18      1  54        1         0
#> 145   10.07      1  65        1         0
#> 81.3  14.06      1  34        0         0
#> 187    9.92      1  39        1         0
#> 61.1  10.12      1  36        0         1
#> 128   20.35      1  35        0         1
#> 114   13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 130   16.47      1  53        0         1
#> 139   21.49      1  63        1         0
#> 37.2  12.52      1  57        1         0
#> 81.4  14.06      1  34        0         0
#> 89.2  11.44      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 81.5  14.06      1  34        0         0
#> 89.3  11.44      1  NA        0         0
#> 133.2 14.65      1  57        0         0
#> 129   23.41      1  53        1         0
#> 45.1  17.42      1  54        0         1
#> 140   12.68      1  59        1         0
#> 92.2  22.92      1  47        0         1
#> 187.1  9.92      1  39        1         0
#> 130.1 16.47      1  53        0         1
#> 23.1  16.92      1  61        0         0
#> 5     16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 15.2  22.68      1  48        0         0
#> 97.1  19.14      1  65        0         1
#> 114.2 13.68      1  NA        0         0
#> 92.3  22.92      1  47        0         1
#> 51.2  18.23      1  83        0         1
#> 111   17.45      1  47        0         1
#> 181   16.46      1  45        0         1
#> 61.2  10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 114.3 13.68      1  NA        0         0
#> 59    10.16      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 51.3  18.23      1  83        0         1
#> 171   16.57      1  41        0         1
#> 190   20.81      1  42        1         0
#> 107.1 11.18      1  54        1         0
#> 8.1   18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 108   18.29      1  39        0         1
#> 167.1 15.55      1  56        1         0
#> 70     7.38      1  30        1         0
#> 107.2 11.18      1  54        1         0
#> 105   19.75      1  60        0         0
#> 154   12.63      1  20        1         0
#> 25.1   6.32      1  34        1         0
#> 110   17.56      1  65        0         1
#> 150   20.33      1  48        0         0
#> 96.1  14.54      1  33        0         1
#> 57.1  14.46      1  45        0         1
#> 33    24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 193   24.00      0  45        0         1
#> 102   24.00      0  49        0         0
#> 82    24.00      0  34        0         0
#> 71    24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 1     24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 34    24.00      0  36        0         0
#> 143   24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 142   24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 132.1 24.00      0  55        0         0
#> 176   24.00      0  43        0         1
#> 200   24.00      0  64        0         0
#> 132.2 24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 62    24.00      0  71        0         0
#> 120   24.00      0  68        0         1
#> 33.1  24.00      0  53        0         0
#> 65    24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 116   24.00      0  58        0         1
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 83    24.00      0   6        0         0
#> 74    24.00      0  43        0         1
#> 73    24.00      0  NA        0         1
#> 174.1 24.00      0  49        1         0
#> 131   24.00      0  66        0         0
#> 162   24.00      0  51        0         0
#> 148   24.00      0  61        1         0
#> 196   24.00      0  19        0         0
#> 21    24.00      0  47        0         0
#> 186   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 144   24.00      0  28        0         1
#> 83.1  24.00      0   6        0         0
#> 94    24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 198   24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 53    24.00      0  32        0         1
#> 186.1 24.00      0  45        1         0
#> 74.1  24.00      0  43        0         1
#> 102.1 24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 11.1  24.00      0  42        0         1
#> 7.1   24.00      0  37        1         0
#> 7.2   24.00      0  37        1         0
#> 182   24.00      0  35        0         0
#> 132.3 24.00      0  55        0         0
#> 1.1   24.00      0  23        1         0
#> 11.2  24.00      0  42        0         1
#> 161   24.00      0  45        0         0
#> 62.1  24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 186.2 24.00      0  45        1         0
#> 103.1 24.00      0  56        1         0
#> 71.1  24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 116.1 24.00      0  58        0         1
#> 1.2   24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 162.1 24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 67    24.00      0  25        0         0
#> 185   24.00      0  44        1         0
#> 103.2 24.00      0  56        1         0
#> 141   24.00      0  44        1         0
#> 82.1  24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 67.1  24.00      0  25        0         0
#> 103.3 24.00      0  56        1         0
#> 46    24.00      0  71        0         0
#> 161.1 24.00      0  45        0         0
#> 126   24.00      0  48        0         0
#> 44    24.00      0  56        0         0
#> 182.1 24.00      0  35        0         0
#> 80    24.00      0  41        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 62.2  24.00      0  71        0         0
#> 28    24.00      0  67        1         0
#> 73.1  24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.635          NA        NA      NA
#> 2 age, Cure model          0.00847        NA        NA      NA
#> 3 grade_ii, Cure model     0.236          NA        NA      NA
#> 4 grade_iii, Cure model    0.936          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00504        NA        NA      NA
#> 2 grade_ii, Survival model   0.627          NA        NA      NA
#> 3 grade_iii, Survival model  0.215          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.634768          0.008465          0.236196          0.936216  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    253 
#> Residual Deviance: 244.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.634767502      0.008465019      0.236196471      0.936216476 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005043522      0.626585431      0.215449229 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.225023553 0.797501182 0.858991287 0.307328618 0.184550751 0.204868211
#>   [7] 0.266562417 0.400210631 0.103174691 0.266562417 0.858991287 0.235428709
#>  [13] 0.307328618 0.662615550 0.766734877 0.766734877 0.516726110 0.589606101
#>  [19] 0.134455420 0.463873044 0.879415916 0.568765524 0.756165640 0.327568920
#>  [25] 0.463873044 0.641689046 0.516726110 0.950191966 0.579169853 0.327568920
#>  [31] 0.970272572 0.589606101 0.662615550 0.065120294 0.495445082 0.379395557
#>  [37] 0.065120294 0.620770408 0.092656034 0.033988678 0.548023928 0.144644757
#>  [43] 0.662615550 0.940133900 0.033988678 0.807895622 0.516726110 0.848728773
#>  [49] 0.103174691 0.818325102 0.909838074 0.662615550 0.920053872 0.879415916
#>  [55] 0.164727578 0.506056383 0.432002826 0.123933399 0.766734877 0.662615550
#>  [61] 0.662615550 0.589606101 0.021738090 0.379395557 0.735016092 0.033988678
#>  [67] 0.920053872 0.432002826 0.400210631 0.484837518 0.006276934 0.065120294
#>  [73] 0.204868211 0.033988678 0.266562417 0.358448652 0.453163378 0.879415916
#>  [79] 0.980292852 0.368873740 0.266562417 0.421316603 0.154853290 0.818325102
#>  [85] 0.235428709 0.724329264 0.256045719 0.548023928 0.960264205 0.818325102
#>  [91] 0.194640217 0.745642729 0.980292852 0.348030058 0.174578611 0.620770408
#>  [97] 0.641689046 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   179    42    93    40   166    97    51    23   175  51.1  93.1     8  40.1 
#> 18.63 12.43 10.33 18.00 19.98 19.14 18.23 16.92 21.91 18.23 10.33 18.43 18.00 
#>    81    37  37.1    39   133   153    85    61    29   177   184   192    57 
#> 14.06 12.52 12.52 15.59 14.65 21.33 16.44 10.12 15.45 12.53 17.77 16.44 14.46 
#>  39.1    16   180 184.1    77 133.1  81.1    15   188    45  15.1    96   169 
#> 15.59  8.71 14.82 17.77  7.27 14.65 14.06 22.68 16.16 17.42 22.68 14.54 22.41 
#>    92   167    36  81.2   183  92.1    56  39.2   159 175.1   107   145  81.3 
#> 22.92 15.55 21.19 14.06  9.24 22.92 12.21 15.59 10.55 21.91 11.18 10.07 14.06 
#>   187  61.1   128   100   130   139  37.2  81.4  81.5 133.2   129  45.1   140 
#>  9.92 10.12 20.35 16.07 16.47 21.49 12.52 14.06 14.06 14.65 23.41 17.42 12.68 
#>  92.2 187.1 130.1  23.1     5    78  15.2  97.1  92.3  51.2   111   181  61.2 
#> 22.92  9.92 16.47 16.92 16.43 23.88 22.68 19.14 22.92 18.23 17.45 16.46 10.12 
#>    25    30  51.3   171   190 107.1   8.1    14   108 167.1    70 107.2   105 
#>  6.32 17.43 18.23 16.57 20.81 11.18 18.43 12.89 18.29 15.55  7.38 11.18 19.75 
#>   154  25.1   110   150  96.1  57.1    33    75   193   102    82    71    87 
#> 12.63  6.32 17.56 20.33 14.54 14.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     1   172    34   143     7   132   142    98 132.1   176   200 132.2   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   120  33.1    65   173   116   103    95    83    74 174.1   131   162 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   196    21   186   163   144  83.1    94    35   198    11    53 186.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 102.1   178  11.1   7.1   7.2   182 132.3   1.1  11.2   161  62.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.2 103.1  71.1 148.1 116.1   1.2   151 162.1    19    67   185 103.2   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1   109  67.1 103.3    46 161.1   126    44 182.1    80    47   147  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[60]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01719782                1.02510041                0.27890720 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.518485385             0.004944777             0.493839955 
#>   grade_iii, Cure model 
#>             0.808381353 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 133   14.65      1  57        0         0
#> 26    15.77      1  49        0         1
#> 78    23.88      1  43        0         0
#> 30    17.43      1  78        0         0
#> 125   15.65      1  67        1         0
#> 58    19.34      1  39        0         0
#> 150   20.33      1  48        0         0
#> 189   10.51      1  NA        1         0
#> 179   18.63      1  42        0         0
#> 199   19.81      1  NA        0         1
#> 159   10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 149    8.37      1  33        1         0
#> 77     7.27      1  67        0         1
#> 92    22.92      1  47        0         1
#> 166   19.98      1  48        0         0
#> 26.1  15.77      1  49        0         1
#> 93    10.33      1  52        0         1
#> 92.1  22.92      1  47        0         1
#> 88    18.37      1  47        0         0
#> 88.1  18.37      1  47        0         0
#> 55    19.34      1  69        0         1
#> 51    18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 133.1 14.65      1  57        0         0
#> 58.1  19.34      1  39        0         0
#> 68    20.62      1  44        0         0
#> 57    14.46      1  45        0         1
#> 91     5.33      1  61        0         1
#> 180   14.82      1  37        0         0
#> 63    22.77      1  31        1         0
#> 113   22.86      1  34        0         0
#> 69    23.23      1  25        0         1
#> 187    9.92      1  39        1         0
#> 79.1  16.23      1  54        1         0
#> 5.1   16.43      1  51        0         1
#> 79.2  16.23      1  54        1         0
#> 36    21.19      1  48        0         1
#> 125.1 15.65      1  67        1         0
#> 77.1   7.27      1  67        0         1
#> 90    20.94      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 111   17.45      1  47        0         1
#> 43    12.10      1  61        0         1
#> 59    10.16      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 157   15.10      1  47        0         0
#> 166.1 19.98      1  48        0         0
#> 171   16.57      1  41        0         1
#> 50    10.02      1  NA        1         0
#> 25     6.32      1  34        1         0
#> 43.1  12.10      1  61        0         1
#> 194   22.40      1  38        0         1
#> 155   13.08      1  26        0         0
#> 168   23.72      1  70        0         0
#> 145   10.07      1  65        1         0
#> 89    11.44      1  NA        0         0
#> 134   17.81      1  47        1         0
#> 23    16.92      1  61        0         0
#> 108   18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 24    23.89      1  38        0         0
#> 140   12.68      1  59        1         0
#> 105   19.75      1  60        0         0
#> 153   21.33      1  55        1         0
#> 92.2  22.92      1  47        0         1
#> 111.1 17.45      1  47        0         1
#> 199.1 19.81      1  NA        0         1
#> 167   15.55      1  56        1         0
#> 99    21.19      1  38        0         1
#> 55.2  19.34      1  69        0         1
#> 100   16.07      1  60        0         0
#> 14    12.89      1  21        0         0
#> 183    9.24      1  67        1         0
#> 159.1 10.55      1  50        0         1
#> 167.1 15.55      1  56        1         0
#> 170   19.54      1  43        0         1
#> 97    19.14      1  65        0         1
#> 50.1  10.02      1  NA        1         0
#> 127    3.53      1  62        0         1
#> 13    14.34      1  54        0         1
#> 93.1  10.33      1  52        0         1
#> 149.1  8.37      1  33        1         0
#> 37    12.52      1  57        1         0
#> 154   12.63      1  20        1         0
#> 127.1  3.53      1  62        0         1
#> 192   16.44      1  31        1         0
#> 36.1  21.19      1  48        0         1
#> 41    18.02      1  40        1         0
#> 123   13.00      1  44        1         0
#> 5.2   16.43      1  51        0         1
#> 117.1 17.46      1  26        0         1
#> 10    10.53      1  34        0         0
#> 69.1  23.23      1  25        0         1
#> 70     7.38      1  30        1         0
#> 194.1 22.40      1  38        0         1
#> 8     18.43      1  32        0         0
#> 36.2  21.19      1  48        0         1
#> 4     17.64      1  NA        0         1
#> 89.1  11.44      1  NA        0         0
#> 149.2  8.37      1  33        1         0
#> 58.2  19.34      1  39        0         0
#> 128   20.35      1  35        0         1
#> 37.1  12.52      1  57        1         0
#> 5.3   16.43      1  51        0         1
#> 192.1 16.44      1  31        1         0
#> 70.1   7.38      1  30        1         0
#> 76    19.22      1  54        0         1
#> 59.1  10.16      1  NA        1         0
#> 195   11.76      1  NA        1         0
#> 63.1  22.77      1  31        1         0
#> 188   16.16      1  46        0         1
#> 54    24.00      0  53        1         0
#> 163   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 1     24.00      0  23        1         0
#> 163.1 24.00      0  66        0         0
#> 163.2 24.00      0  66        0         0
#> 200   24.00      0  64        0         0
#> 74    24.00      0  43        0         1
#> 121   24.00      0  57        1         0
#> 118   24.00      0  44        1         0
#> 53    24.00      0  32        0         1
#> 98    24.00      0  34        1         0
#> 182   24.00      0  35        0         0
#> 116   24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 64    24.00      0  43        0         0
#> 3.1   24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 135   24.00      0  58        1         0
#> 31    24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 118.1 24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 198   24.00      0  66        0         1
#> 144   24.00      0  28        0         1
#> 182.1 24.00      0  35        0         0
#> 44    24.00      0  56        0         0
#> 33    24.00      0  53        0         0
#> 182.2 24.00      0  35        0         0
#> 143   24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 95    24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 71    24.00      0  51        0         0
#> 200.1 24.00      0  64        0         0
#> 84    24.00      0  39        0         1
#> 38    24.00      0  31        1         0
#> 120.1 24.00      0  68        0         1
#> 1.1   24.00      0  23        1         0
#> 74.1  24.00      0  43        0         1
#> 137   24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 191.1 24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 74.2  24.00      0  43        0         1
#> 102   24.00      0  49        0         0
#> 20    24.00      0  46        1         0
#> 135.1 24.00      0  58        1         0
#> 83    24.00      0   6        0         0
#> 71.1  24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 131   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 151.1 24.00      0  42        0         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 137.1 24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 131.1 24.00      0  66        0         0
#> 151.2 24.00      0  42        0         0
#> 35    24.00      0  51        0         0
#> 102.1 24.00      0  49        0         0
#> 34    24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 172   24.00      0  41        0         0
#> 31.1  24.00      0  36        0         1
#> 103   24.00      0  56        1         0
#> 53.2  24.00      0  32        0         1
#> 71.2  24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 95.1  24.00      0  68        0         1
#> 198.1 24.00      0  66        0         1
#> 151.3 24.00      0  42        0         0
#> 17.1  24.00      0  38        0         1
#> 98.1  24.00      0  34        1         0
#> 198.2 24.00      0  66        0         1
#> 176.1 24.00      0  43        0         1
#> 47.1  24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 73    24.00      0  NA        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.518          NA        NA      NA
#> 2 age, Cure model          0.00494        NA        NA      NA
#> 3 grade_ii, Cure model     0.494          NA        NA      NA
#> 4 grade_iii, Cure model    0.808          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0172        NA        NA      NA
#> 2 grade_ii, Survival model    1.03          NA        NA      NA
#> 3 grade_iii, Survival model   0.279         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.518485          0.004945          0.493840          0.808381  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 252.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.518485385      0.004944777      0.493839955      0.808381353 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01719782       1.02510041       0.27890720 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9012273 0.8700363 0.2237254 0.8022782 0.8784961 0.6628277 0.6174937
#>   [8] 0.7206285 0.9459287 0.8481800 0.9702977 0.9841270 0.3917541 0.6270068
#>  [15] 0.8700363 0.9552968 0.3917541 0.7412195 0.7412195 0.6628277 0.7611645
#>  [22] 0.8288666 0.9012273 0.6628277 0.5978599 0.9085129 0.9921609 0.8975273
#>  [29] 0.4751222 0.4541081 0.3287844 0.9644421 0.8481800 0.8288666 0.8481800
#>  [36] 0.5468423 0.8784961 0.9841270 0.5877410 0.7206285 0.7910651 0.9395925
#>  [43] 0.6628277 0.8938136 0.6270068 0.8132431 0.9894998 0.9395925 0.5061585
#>  [50] 0.9157253 0.2869620 0.9614386 0.7736487 0.8077952 0.7545583 0.7795306
#>  [57] 0.1329810 0.9263290 0.6451863 0.5345170 0.3917541 0.7910651 0.8863632
#>  [64] 0.5468423 0.6628277 0.8657087 0.9228209 0.9674045 0.9459287 0.8863632
#>  [71] 0.6541122 0.7135838 0.9948024 0.9121358 0.9552968 0.9702977 0.9331355
#>  [78] 0.9297505 0.9948024 0.8186307 0.5468423 0.7675219 0.9193069 0.8288666
#>  [85] 0.7795306 0.9521761 0.3287844 0.9786591 0.5061585 0.7343657 0.5468423
#>  [92] 0.9702977 0.6628277 0.6077888 0.9331355 0.8288666 0.8186307 0.9786591
#>  [99] 0.7063211 0.4751222 0.8613418 0.0000000 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>   133    26    78    30   125    58   150   179   159    79   149    77    92 
#> 14.65 15.77 23.88 17.43 15.65 19.34 20.33 18.63 10.55 16.23  8.37  7.27 22.92 
#>   166  26.1    93  92.1    88  88.1    55    51     5 133.1  58.1    68    57 
#> 19.98 15.77 10.33 22.92 18.37 18.37 19.34 18.23 16.43 14.65 19.34 20.62 14.46 
#>    91   180    63   113    69   187  79.1   5.1  79.2    36 125.1  77.1    90 
#>  5.33 14.82 22.77 22.86 23.23  9.92 16.23 16.43 16.23 21.19 15.65  7.27 20.94 
#> 179.1   111    43  55.1   157 166.1   171    25  43.1   194   155   168   145 
#> 18.63 17.45 12.10 19.34 15.10 19.98 16.57  6.32 12.10 22.40 13.08 23.72 10.07 
#>   134    23   108   117    24   140   105   153  92.2 111.1   167    99  55.2 
#> 17.81 16.92 18.29 17.46 23.89 12.68 19.75 21.33 22.92 17.45 15.55 21.19 19.34 
#>   100    14   183 159.1 167.1   170    97   127    13  93.1 149.1    37   154 
#> 16.07 12.89  9.24 10.55 15.55 19.54 19.14  3.53 14.34 10.33  8.37 12.52 12.63 
#> 127.1   192  36.1    41   123   5.2 117.1    10  69.1    70 194.1     8  36.2 
#>  3.53 16.44 21.19 18.02 13.00 16.43 17.46 10.53 23.23  7.38 22.40 18.43 21.19 
#> 149.2  58.2   128  37.1   5.3 192.1  70.1    76  63.1   188    54   163     3 
#>  8.37 19.34 20.35 12.52 16.43 16.44  7.38 19.22 22.77 16.16 24.00 24.00 24.00 
#>  54.1     1 163.1 163.2   200    74   121   118    53    98   182   116  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   3.1   191   141   120   156    47   138   151   135    31    17 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142   198   144 182.1    44    33 182.2   143    12    95   176    71 200.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84    38 120.1   1.1  74.1   137   112 191.1    65    72  74.2   102    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 135.1    83  71.1   174   131    87 151.1    82   119 137.1  82.1 131.1 151.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35 102.1    34   172  31.1   103  53.2  71.2    46  95.1 198.1 151.3  17.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1 198.2 176.1  47.1   196 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[61]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.009336814               0.397820419               0.107024367 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.18716100              0.02623782             -0.24153106 
#>   grade_iii, Cure model 
#>              0.64462794 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 52    10.42      1  52        0         1
#> 68    20.62      1  44        0         0
#> 59    10.16      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 158   20.14      1  74        1         0
#> 184   17.77      1  38        0         0
#> 70     7.38      1  30        1         0
#> 97    19.14      1  65        0         1
#> 150   20.33      1  48        0         0
#> 16     8.71      1  71        0         1
#> 117   17.46      1  26        0         1
#> 159   10.55      1  50        0         1
#> 79    16.23      1  54        1         0
#> 150.1 20.33      1  48        0         0
#> 86    23.81      1  58        0         1
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 183    9.24      1  67        1         0
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 110   17.56      1  65        0         1
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 13    14.34      1  54        0         1
#> 175   21.91      1  43        0         0
#> 6     15.64      1  39        0         0
#> 180   14.82      1  37        0         0
#> 90    20.94      1  50        0         1
#> 39    15.59      1  37        0         1
#> 177   12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 69    23.23      1  25        0         1
#> 140.1 12.68      1  59        1         0
#> 66    22.13      1  53        0         0
#> 134   17.81      1  47        1         0
#> 25     6.32      1  34        1         0
#> 145   10.07      1  65        1         0
#> 159.1 10.55      1  50        0         1
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 40    18.00      1  28        1         0
#> 86.1  23.81      1  58        0         1
#> 23    16.92      1  61        0         0
#> 23.1  16.92      1  61        0         0
#> 150.2 20.33      1  48        0         0
#> 50    10.02      1  NA        1         0
#> 30    17.43      1  78        0         0
#> 16.1   8.71      1  71        0         1
#> 130   16.47      1  53        0         1
#> 107   11.18      1  54        1         0
#> 55    19.34      1  69        0         1
#> 88    18.37      1  47        0         0
#> 92    22.92      1  47        0         1
#> 37    12.52      1  57        1         0
#> 192   16.44      1  31        1         0
#> 100   16.07      1  60        0         0
#> 45    17.42      1  54        0         1
#> 184.1 17.77      1  38        0         0
#> 51    18.23      1  83        0         1
#> 123   13.00      1  44        1         0
#> 39.1  15.59      1  37        0         1
#> 125.1 15.65      1  67        1         0
#> 32    20.90      1  37        1         0
#> 90.1  20.94      1  50        0         1
#> 113   22.86      1  34        0         0
#> 6.1   15.64      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 85    16.44      1  36        0         0
#> 127    3.53      1  62        0         1
#> 140.2 12.68      1  59        1         0
#> 192.1 16.44      1  31        1         0
#> 129   23.41      1  53        1         0
#> 36    21.19      1  48        0         1
#> 85.1  16.44      1  36        0         0
#> 89    11.44      1  NA        0         0
#> 16.2   8.71      1  71        0         1
#> 127.1  3.53      1  62        0         1
#> 56.1  12.21      1  60        0         0
#> 76    19.22      1  54        0         1
#> 60    13.15      1  38        1         0
#> 55.1  19.34      1  69        0         1
#> 66.2  22.13      1  53        0         0
#> 8     18.43      1  32        0         0
#> 155   13.08      1  26        0         0
#> 110.1 17.56      1  65        0         1
#> 36.1  21.19      1  48        0         1
#> 23.2  16.92      1  61        0         0
#> 100.1 16.07      1  60        0         0
#> 56.2  12.21      1  60        0         0
#> 16.3   8.71      1  71        0         1
#> 105   19.75      1  60        0         0
#> 39.2  15.59      1  37        0         1
#> 90.2  20.94      1  50        0         1
#> 106   16.67      1  49        1         0
#> 30.1  17.43      1  78        0         0
#> 10    10.53      1  34        0         0
#> 42    12.43      1  49        0         1
#> 57    14.46      1  45        0         1
#> 88.1  18.37      1  47        0         0
#> 43.1  12.10      1  61        0         1
#> 169   22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 130.1 16.47      1  53        0         1
#> 32.1  20.90      1  37        1         0
#> 170   19.54      1  43        0         1
#> 52.1  10.42      1  52        0         1
#> 57.1  14.46      1  45        0         1
#> 168   23.72      1  70        0         0
#> 4     17.64      1  NA        0         1
#> 60.1  13.15      1  38        1         0
#> 157   15.10      1  47        0         0
#> 52.2  10.42      1  52        0         1
#> 31    24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 72    24.00      0  40        0         1
#> 118   24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 31.1  24.00      0  36        0         1
#> 62    24.00      0  71        0         0
#> 67    24.00      0  25        0         0
#> 11    24.00      0  42        0         1
#> 191   24.00      0  60        0         1
#> 147   24.00      0  76        1         0
#> 152   24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 62.1  24.00      0  71        0         0
#> 152.1 24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 151   24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 142   24.00      0  53        0         0
#> 173   24.00      0  19        0         1
#> 144   24.00      0  28        0         1
#> 12    24.00      0  63        0         0
#> 48    24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 11.1  24.00      0  42        0         1
#> 80    24.00      0  41        0         0
#> 173.1 24.00      0  19        0         1
#> 48.1  24.00      0  31        1         0
#> 121   24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 121.1 24.00      0  57        1         0
#> 174   24.00      0  49        1         0
#> 185   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 196   24.00      0  19        0         0
#> 64.1  24.00      0  43        0         0
#> 53    24.00      0  32        0         1
#> 131   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 12.1  24.00      0  63        0         0
#> 173.2 24.00      0  19        0         1
#> 182   24.00      0  35        0         0
#> 146   24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 65.1  24.00      0  57        1         0
#> 80.1  24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 172.1 24.00      0  41        0         0
#> 116   24.00      0  58        0         1
#> 34    24.00      0  36        0         0
#> 156   24.00      0  50        1         0
#> 80.2  24.00      0  41        0         0
#> 109.1 24.00      0  48        0         0
#> 151.1 24.00      0  42        0         0
#> 141   24.00      0  44        1         0
#> 191.1 24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 22    24.00      0  52        1         0
#> 83    24.00      0   6        0         0
#> 7.1   24.00      0  37        1         0
#> 131.1 24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 98.1  24.00      0  34        1         0
#> 185.1 24.00      0  44        1         0
#> 147.1 24.00      0  76        1         0
#> 132   24.00      0  55        0         0
#> 27.1  24.00      0  63        1         0
#> 65.2  24.00      0  57        1         0
#> 46.1  24.00      0  71        0         0
#> 62.2  24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 151.2 24.00      0  42        0         0
#> 182.1 24.00      0  35        0         0
#> 144.1 24.00      0  28        0         1
#> 137   24.00      0  45        1         0
#> 53.1  24.00      0  32        0         1
#> 67.1  24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 142.1 24.00      0  53        0         0
#> 104.1 24.00      0  50        1         0
#> 11.2  24.00      0  42        0         1
#> 191.2 24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.19          NA        NA      NA
#> 2 age, Cure model           0.0262        NA        NA      NA
#> 3 grade_ii, Cure model     -0.242         NA        NA      NA
#> 4 grade_iii, Cure model     0.645         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00934        NA        NA      NA
#> 2 grade_ii, Survival model   0.398          NA        NA      NA
#> 3 grade_iii, Survival model  0.107          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.18716           0.02624          -0.24153           0.64463  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    269.7 
#> Residual Deviance: 257.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.18716100       0.02623782      -0.24153106       0.64462794 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.009336814      0.397820419      0.107024367 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.9345731 0.4236483 0.8862774 0.4636331 0.6022670 0.9802992 0.5278947
#>   [8] 0.4341271 0.9604533 0.6326438 0.9186956 0.7299025 0.4341271 0.0780342
#>  [15] 0.2321412 0.7494272 0.9553292 0.9025713 0.2485020 0.6176499 0.5365207
#>  [22] 0.5784097 0.8231531 0.3190495 0.7619801 0.7989524 0.3574200 0.7744428
#>  [29] 0.8695435 0.8526722 0.1769780 0.8526722 0.2795613 0.5944401 0.9852742
#>  [36] 0.9501556 0.9186956 0.4732730 0.7989524 0.5864760 0.0780342 0.6619568
#>  [43] 0.6619568 0.4341271 0.6401482 0.9604533 0.6899226 0.9133411 0.5014676
#>  [50] 0.5535939 0.1964179 0.8751669 0.7035714 0.7364880 0.6547056 0.6022670
#>  [57] 0.5702104 0.8468267 0.7744428 0.7494272 0.3914249 0.3574200 0.2145567
#>  [64] 0.7619801 0.2795613 0.7035714 0.9902231 0.8526722 0.7035714 0.1566352
#>  [71] 0.3325096 0.7035714 0.9604533 0.9902231 0.8862774 0.5191193 0.8291570
#>  [78] 0.5014676 0.2795613 0.5450806 0.8409306 0.6176499 0.3325096 0.6619568
#>  [85] 0.7364880 0.8862774 0.9604533 0.4828031 0.7744428 0.3574200 0.6829497
#>  [92] 0.6401482 0.9292780 0.8807354 0.8111154 0.5535939 0.9025713 0.2642762
#>  [99] 0.4130360 0.6899226 0.3914249 0.4921940 0.9345731 0.8111154 0.1316235
#> [106] 0.8291570 0.7928088 0.9345731 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [190] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    52    68    56   158   184    70    97   150    16   117   159    79 150.1 
#> 10.42 20.62 12.21 20.14 17.77  7.38 19.14 20.33  8.71 17.46 10.55 16.23 20.33 
#>    86    63   125   183    43    15   110   179    41    13   175     6   180 
#> 23.81 22.77 15.65  9.24 12.10 22.68 17.56 18.63 18.02 14.34 21.91 15.64 14.82 
#>    90    39   177   140    69 140.1    66   134    25   145 159.1   166 180.1 
#> 20.94 15.59 12.53 12.68 23.23 12.68 22.13 17.81  6.32 10.07 10.55 19.98 14.82 
#>    40  86.1    23  23.1 150.2    30  16.1   130   107    55    88    92    37 
#> 18.00 23.81 16.92 16.92 20.33 17.43  8.71 16.47 11.18 19.34 18.37 22.92 12.52 
#>   192   100    45 184.1    51   123  39.1 125.1    32  90.1   113   6.1  66.1 
#> 16.44 16.07 17.42 17.77 18.23 13.00 15.59 15.65 20.90 20.94 22.86 15.64 22.13 
#>    85   127 140.2 192.1   129    36  85.1  16.2 127.1  56.1    76    60  55.1 
#> 16.44  3.53 12.68 16.44 23.41 21.19 16.44  8.71  3.53 12.21 19.22 13.15 19.34 
#>  66.2     8   155 110.1  36.1  23.2 100.1  56.2  16.3   105  39.2  90.2   106 
#> 22.13 18.43 13.08 17.56 21.19 16.92 16.07 12.21  8.71 19.75 15.59 20.94 16.67 
#>  30.1    10    42    57  88.1  43.1   169   190 130.1  32.1   170  52.1  57.1 
#> 17.43 10.53 12.43 14.46 18.37 12.10 22.41 20.81 16.47 20.90 19.54 10.42 14.46 
#>   168  60.1   157  52.2    31     7    72   118    64    44    98  31.1    62 
#> 23.72 13.15 15.10 10.42 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67    11   191   147   152    82  62.1 152.1   148    65   151   104   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   144    12    48   186  11.1    80 173.1  48.1   121   172 121.1   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185    27   138   196  64.1    53   131   109  12.1 173.2   182   146   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  65.1  80.1   103 172.1   116    34   156  80.2 109.1 151.1   141 191.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22    83   7.1 131.1    46  98.1 185.1 147.1   132  27.1  65.2  46.1  62.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 151.2 182.1 144.1   137  53.1  67.1   163    20 142.1 104.1  11.2 191.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[62]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001320673               0.734936196               0.592046919 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.68941137              0.01713765             -0.51234538 
#>   grade_iii, Cure model 
#>              0.80586914 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 78    23.88      1  43        0         0
#> 36    21.19      1  48        0         1
#> 24    23.89      1  38        0         0
#> 81    14.06      1  34        0         0
#> 139   21.49      1  63        1         0
#> 99    21.19      1  38        0         1
#> 113   22.86      1  34        0         0
#> 177   12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 169   22.41      1  46        0         0
#> 15    22.68      1  48        0         0
#> 157   15.10      1  47        0         0
#> 92    22.92      1  47        0         1
#> 36.1  21.19      1  48        0         1
#> 183    9.24      1  67        1         0
#> 136   21.83      1  43        0         1
#> 199   19.81      1  NA        0         1
#> 164   23.60      1  76        0         1
#> 111   17.45      1  47        0         1
#> 184   17.77      1  38        0         0
#> 88    18.37      1  47        0         0
#> 23    16.92      1  61        0         0
#> 100   16.07      1  60        0         0
#> 93    10.33      1  52        0         1
#> 58    19.34      1  39        0         0
#> 168   23.72      1  70        0         0
#> 170   19.54      1  43        0         1
#> 66    22.13      1  53        0         0
#> 68    20.62      1  44        0         0
#> 37    12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 89    11.44      1  NA        0         0
#> 187    9.92      1  39        1         0
#> 36.2  21.19      1  48        0         1
#> 90    20.94      1  50        0         1
#> 93.1  10.33      1  52        0         1
#> 4     17.64      1  NA        0         1
#> 63    22.77      1  31        1         0
#> 57    14.46      1  45        0         1
#> 30    17.43      1  78        0         0
#> 124    9.73      1  NA        1         0
#> 81.1  14.06      1  34        0         0
#> 167   15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 10    10.53      1  34        0         0
#> 167.1 15.55      1  56        1         0
#> 168.1 23.72      1  70        0         0
#> 168.2 23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 189   10.51      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 51    18.23      1  83        0         1
#> 177.1 12.53      1  75        0         0
#> 41    18.02      1  40        1         0
#> 189.1 10.51      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 100.1 16.07      1  60        0         0
#> 78.1  23.88      1  43        0         0
#> 123   13.00      1  44        1         0
#> 123.1 13.00      1  44        1         0
#> 129   23.41      1  53        1         0
#> 110   17.56      1  65        0         1
#> 49    12.19      1  48        1         0
#> 100.2 16.07      1  60        0         0
#> 45    17.42      1  54        0         1
#> 105   19.75      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 139.1 21.49      1  63        1         0
#> 91     5.33      1  61        0         1
#> 189.2 10.51      1  NA        1         0
#> 51.1  18.23      1  83        0         1
#> 150   20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 180   14.82      1  37        0         0
#> 6     15.64      1  39        0         0
#> 8     18.43      1  32        0         0
#> 168.3 23.72      1  70        0         0
#> 111.1 17.45      1  47        0         1
#> 29    15.45      1  68        1         0
#> 14    12.89      1  21        0         0
#> 43    12.10      1  61        0         1
#> 91.1   5.33      1  61        0         1
#> 5     16.43      1  51        0         1
#> 70     7.38      1  30        1         0
#> 4.1   17.64      1  NA        0         1
#> 5.1   16.43      1  51        0         1
#> 90.1  20.94      1  50        0         1
#> 157.1 15.10      1  47        0         0
#> 18    15.21      1  49        1         0
#> 43.1  12.10      1  61        0         1
#> 106.1 16.67      1  49        1         0
#> 8.1   18.43      1  32        0         0
#> 175.1 21.91      1  43        0         0
#> 110.1 17.56      1  65        0         1
#> 153   21.33      1  55        1         0
#> 77     7.27      1  67        0         1
#> 6.1   15.64      1  39        0         0
#> 78.2  23.88      1  43        0         0
#> 167.2 15.55      1  56        1         0
#> 69    23.23      1  25        0         1
#> 96    14.54      1  33        0         1
#> 40    18.00      1  28        1         0
#> 4.2   17.64      1  NA        0         1
#> 68.1  20.62      1  44        0         0
#> 194   22.40      1  38        0         1
#> 8.2   18.43      1  32        0         0
#> 175.2 21.91      1  43        0         0
#> 66.1  22.13      1  53        0         0
#> 101    9.97      1  10        0         1
#> 70.1   7.38      1  30        1         0
#> 63.1  22.77      1  31        1         0
#> 13    14.34      1  54        0         1
#> 48    24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 116   24.00      0  58        0         1
#> 9     24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 172   24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 118   24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 33    24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 34    24.00      0  36        0         0
#> 48.1  24.00      0  31        1         0
#> 48.2  24.00      0  31        1         0
#> 33.1  24.00      0  53        0         0
#> 135   24.00      0  58        1         0
#> 102   24.00      0  49        0         0
#> 178   24.00      0  52        1         0
#> 35    24.00      0  51        0         0
#> 33.2  24.00      0  53        0         0
#> 102.1 24.00      0  49        0         0
#> 9.1   24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 34.1  24.00      0  36        0         0
#> 84    24.00      0  39        0         1
#> 161   24.00      0  45        0         0
#> 109   24.00      0  48        0         0
#> 122   24.00      0  66        0         0
#> 162.1 24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 103   24.00      0  56        1         0
#> 3     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 103.1 24.00      0  56        1         0
#> 22    24.00      0  52        1         0
#> 165   24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 95    24.00      0  68        0         1
#> 121   24.00      0  57        1         0
#> 156   24.00      0  50        1         0
#> 35.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 161.1 24.00      0  45        0         0
#> 165.1 24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 1.1   24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 33.3  24.00      0  53        0         0
#> 120   24.00      0  68        0         1
#> 178.1 24.00      0  52        1         0
#> 144   24.00      0  28        0         1
#> 120.1 24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 9.2   24.00      0  31        1         0
#> 122.1 24.00      0  66        0         0
#> 103.2 24.00      0  56        1         0
#> 83    24.00      0   6        0         0
#> 33.4  24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 28    24.00      0  67        1         0
#> 172.1 24.00      0  41        0         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 103.3 24.00      0  56        1         0
#> 67.1  24.00      0  25        0         0
#> 98    24.00      0  34        1         0
#> 135.1 24.00      0  58        1         0
#> 103.4 24.00      0  56        1         0
#> 82    24.00      0  34        0         0
#> 116.1 24.00      0  58        0         1
#> 121.1 24.00      0  57        1         0
#> 9.3   24.00      0  31        1         0
#> 196.1 24.00      0  19        0         0
#> 135.2 24.00      0  58        1         0
#> 119   24.00      0  17        0         0
#> 33.5  24.00      0  53        0         0
#> 109.1 24.00      0  48        0         0
#> 35.2  24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 75    24.00      0  21        1         0
#> 141   24.00      0  44        1         0
#> 102.2 24.00      0  49        0         0
#> 9.4   24.00      0  31        1         0
#> 163   24.00      0  66        0         0
#> 176.1 24.00      0  43        0         1
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.689         NA        NA      NA
#> 2 age, Cure model           0.0171        NA        NA      NA
#> 3 grade_ii, Cure model     -0.512         NA        NA      NA
#> 4 grade_iii, Cure model     0.806         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00132        NA        NA      NA
#> 2 grade_ii, Survival model   0.735          NA        NA      NA
#> 3 grade_iii, Survival model  0.592          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.68941           0.01714          -0.51235           0.80587  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.68941137       0.01713765      -0.51234538       0.80586914 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001320673      0.734936196      0.592046919 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.05686222 0.42819460 0.02196781 0.83380440 0.39613251 0.42819460
#>   [7] 0.24834886 0.86749941 0.91999280 0.30049917 0.28776672 0.79214429
#>  [13] 0.23386457 0.42819460 0.96401390 0.38441154 0.18396482 0.65027772
#>  [19] 0.62578184 0.58295395 0.68185542 0.71973927 0.93277853 0.53897721
#>  [25] 0.11562985 0.52989971 0.32544953 0.48400860 0.88083965 0.53897721
#>  [31] 0.95783846 0.42819460 0.46561109 0.93277853 0.26279470 0.82006008
#>  [37] 0.66607294 0.83380440 0.75669257 0.89405920 0.92638667 0.75669257
#>  [43] 0.11562985 0.11562985 0.88747228 0.34936414 0.59184025 0.86749941
#>  [49] 0.60896052 0.94535759 0.71973927 0.05686222 0.84742853 0.84742853
#>  [55] 0.20214213 0.63412012 0.90064212 0.71973927 0.67400766 0.51161664
#>  [61] 0.51161664 0.39613251 0.98817387 0.59184025 0.50236446 0.68969562
#>  [67] 0.80610137 0.74187601 0.55667412 0.11562985 0.65027772 0.77803162
#>  [73] 0.86079267 0.90716677 0.98817387 0.70486686 0.97013919 0.70486686
#>  [79] 0.46561109 0.79214429 0.78512679 0.90716677 0.68969562 0.55667412
#>  [85] 0.34936414 0.63412012 0.41764053 0.98217391 0.74187601 0.05686222
#>  [91] 0.75669257 0.21850229 0.81310733 0.61743785 0.48400860 0.31319800
#>  [97] 0.55667412 0.34936414 0.32544953 0.95161504 0.97013919 0.26279470
#> [103] 0.82695912 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    78    36    24    81   139    99   113   177   159   169    15   157    92 
#> 23.88 21.19 23.89 14.06 21.49 21.19 22.86 12.53 10.55 22.41 22.68 15.10 22.92 
#>  36.1   183   136   164   111   184    88    23   100    93    58   168   170 
#> 21.19  9.24 21.83 23.60 17.45 17.77 18.37 16.92 16.07 10.33 19.34 23.72 19.54 
#>    66    68    37    55   187  36.2    90  93.1    63    57    30  81.1   167 
#> 22.13 20.62 12.52 19.34  9.92 21.19 20.94 10.33 22.77 14.46 17.43 14.06 15.55 
#>    56    10 167.1 168.1 168.2    42   175    51 177.1    41   145 100.1  78.1 
#> 12.21 10.53 15.55 23.72 23.72 12.43 21.91 18.23 12.53 18.02 10.07 16.07 23.88 
#>   123 123.1   129   110    49 100.2    45   105 105.1 139.1    91  51.1   150 
#> 13.00 13.00 23.41 17.56 12.19 16.07 17.42 19.75 19.75 21.49  5.33 18.23 20.33 
#>   106   180     6     8 168.3 111.1    29    14    43  91.1     5    70   5.1 
#> 16.67 14.82 15.64 18.43 23.72 17.45 15.45 12.89 12.10  5.33 16.43  7.38 16.43 
#>  90.1 157.1    18  43.1 106.1   8.1 175.1 110.1   153    77   6.1  78.2 167.2 
#> 20.94 15.10 15.21 12.10 16.67 18.43 21.91 17.56 21.33  7.27 15.64 23.88 15.55 
#>    69    96    40  68.1   194   8.2 175.2  66.1   101  70.1  63.1    13    48 
#> 23.23 14.54 18.00 20.62 22.40 18.43 21.91 22.13  9.97  7.38 22.77 14.34 24.00 
#>   193   116     9   132   172   162   176   112   118 112.1    33   191    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1  48.2  33.1   135   102   178    35  33.2 102.1   9.1   142  34.1    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161   109   122 162.1   174   103     3   196 103.1    22   165     1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   156  35.1    44 161.1 165.1    27   1.1   137  33.3   120 178.1   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1    67   9.2 122.1 103.2    83  33.4    74    28 172.1    38    47 103.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1    98 135.1 103.4    82 116.1 121.1   9.3 196.1 135.2   119  33.5 109.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2 121.2    75   141 102.2   9.4   163 176.1 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[63]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006006562               0.333200353               0.228502595 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.42187692              0.02190194              0.51307471 
#>   grade_iii, Cure model 
#>              1.06329984 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 4     17.64      1  NA        0         1
#> 30    17.43      1  78        0         0
#> 26    15.77      1  49        0         1
#> 81    14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 106   16.67      1  49        1         0
#> 85    16.44      1  36        0         0
#> 55    19.34      1  69        0         1
#> 63    22.77      1  31        1         0
#> 91     5.33      1  61        0         1
#> 111   17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 90    20.94      1  50        0         1
#> 175   21.91      1  43        0         0
#> 101    9.97      1  10        0         1
#> 99    21.19      1  38        0         1
#> 187    9.92      1  39        1         0
#> 117   17.46      1  26        0         1
#> 195   11.76      1  NA        1         0
#> 190   20.81      1  42        1         0
#> 111.1 17.45      1  47        0         1
#> 32    20.90      1  37        1         0
#> 78    23.88      1  43        0         0
#> 192.1 16.44      1  31        1         0
#> 51    18.23      1  83        0         1
#> 4.1   17.64      1  NA        0         1
#> 91.1   5.33      1  61        0         1
#> 86    23.81      1  58        0         1
#> 128   20.35      1  35        0         1
#> 6     15.64      1  39        0         0
#> 5     16.43      1  51        0         1
#> 85.1  16.44      1  36        0         0
#> 77     7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 127    3.53      1  62        0         1
#> 108   18.29      1  39        0         1
#> 194   22.40      1  38        0         1
#> 25     6.32      1  34        1         0
#> 166   19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 97    19.14      1  65        0         1
#> 77.1   7.27      1  67        0         1
#> 56    12.21      1  60        0         0
#> 90.1  20.94      1  50        0         1
#> 133   14.65      1  57        0         0
#> 145   10.07      1  65        1         0
#> 111.2 17.45      1  47        0         1
#> 78.1  23.88      1  43        0         0
#> 15    22.68      1  48        0         0
#> 164   23.60      1  76        0         1
#> 129   23.41      1  53        1         0
#> 129.1 23.41      1  53        1         0
#> 192.2 16.44      1  31        1         0
#> 51.1  18.23      1  83        0         1
#> 145.1 10.07      1  65        1         0
#> 183    9.24      1  67        1         0
#> 76    19.22      1  54        0         1
#> 52    10.42      1  52        0         1
#> 105   19.75      1  60        0         0
#> 32.1  20.90      1  37        1         0
#> 127.1  3.53      1  62        0         1
#> 136.1 21.83      1  43        0         1
#> 37    12.52      1  57        1         0
#> 91.2   5.33      1  61        0         1
#> 105.1 19.75      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 107   11.18      1  54        1         0
#> 145.2 10.07      1  65        1         0
#> 16     8.71      1  71        0         1
#> 166.1 19.98      1  48        0         0
#> 123   13.00      1  44        1         0
#> 133.1 14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 55.1  19.34      1  69        0         1
#> 154   12.63      1  20        1         0
#> 6.1   15.64      1  39        0         0
#> 51.2  18.23      1  83        0         1
#> 57    14.46      1  45        0         1
#> 125   15.65      1  67        1         0
#> 190.1 20.81      1  42        1         0
#> 4.2   17.64      1  NA        0         1
#> 194.1 22.40      1  38        0         1
#> 96    14.54      1  33        0         1
#> 130   16.47      1  53        0         1
#> 195.1 11.76      1  NA        1         0
#> 51.3  18.23      1  83        0         1
#> 96.1  14.54      1  33        0         1
#> 184   17.77      1  38        0         0
#> 26.1  15.77      1  49        0         1
#> 10    10.53      1  34        0         0
#> 189   10.51      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 90.2  20.94      1  50        0         1
#> 145.3 10.07      1  65        1         0
#> 105.2 19.75      1  60        0         0
#> 26.2  15.77      1  49        0         1
#> 14    12.89      1  21        0         0
#> 153   21.33      1  55        1         0
#> 154.1 12.63      1  20        1         0
#> 175.1 21.91      1  43        0         0
#> 145.4 10.07      1  65        1         0
#> 91.3   5.33      1  61        0         1
#> 171   16.57      1  41        0         1
#> 128.1 20.35      1  35        0         1
#> 127.2  3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 56.1  12.21      1  60        0         0
#> 107.1 11.18      1  54        1         0
#> 50.1  10.02      1  NA        1         0
#> 55.2  19.34      1  69        0         1
#> 23    16.92      1  61        0         0
#> 44    24.00      0  56        0         0
#> 74    24.00      0  43        0         1
#> 174   24.00      0  49        1         0
#> 9     24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 48    24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 161   24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 115   24.00      0  NA        1         0
#> 193   24.00      0  45        0         1
#> 172   24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 122   24.00      0  66        0         0
#> 104   24.00      0  50        1         0
#> 118   24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 144.1 24.00      0  28        0         1
#> 103   24.00      0  56        1         0
#> 94    24.00      0  51        0         1
#> 74.1  24.00      0  43        0         1
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 162.1 24.00      0  51        0         0
#> 44.1  24.00      0  56        0         0
#> 22.1  24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 138   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 54    24.00      0  53        1         0
#> 34    24.00      0  36        0         0
#> 151.1 24.00      0  42        0         0
#> 54.1  24.00      0  53        1         0
#> 80    24.00      0  41        0         0
#> 95    24.00      0  68        0         1
#> 35    24.00      0  51        0         0
#> 143   24.00      0  51        0         0
#> 71    24.00      0  51        0         0
#> 174.1 24.00      0  49        1         0
#> 67    24.00      0  25        0         0
#> 120   24.00      0  68        0         1
#> 172.1 24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 104.1 24.00      0  50        1         0
#> 75    24.00      0  21        1         0
#> 186   24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 160   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 138.1 24.00      0  44        1         0
#> 161.1 24.00      0  45        0         0
#> 33    24.00      0  53        0         0
#> 19    24.00      0  57        0         1
#> 176   24.00      0  43        0         1
#> 53    24.00      0  32        0         1
#> 12    24.00      0  63        0         0
#> 12.1  24.00      0  63        0         0
#> 131.1 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 131.2 24.00      0  66        0         0
#> 161.2 24.00      0  45        0         0
#> 162.2 24.00      0  51        0         0
#> 7     24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 9.1   24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 87    24.00      0  27        0         0
#> 173.1 24.00      0  19        0         1
#> 71.1  24.00      0  51        0         0
#> 143.1 24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 53.1  24.00      0  32        0         1
#> 119   24.00      0  17        0         0
#> 120.1 24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 21.1  24.00      0  47        0         0
#> 186.1 24.00      0  45        1         0
#> 115.1 24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 74.2  24.00      0  43        0         1
#> 47.1  24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.42          NA        NA      NA
#> 2 age, Cure model           0.0219        NA        NA      NA
#> 3 grade_ii, Cure model      0.513         NA        NA      NA
#> 4 grade_iii, Cure model     1.06          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00601        NA        NA      NA
#> 2 grade_ii, Survival model   0.333          NA        NA      NA
#> 3 grade_iii, Survival model  0.229          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -1.4219            0.0219            0.5131            1.0633  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    261.7 
#> Residual Deviance: 248.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.42187692       0.02190194       0.51307471       1.06329984 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006006562      0.333200353      0.228502595 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.62434142 0.71317792 0.79623475 0.67020698 0.30911292 0.63996201
#>   [7] 0.67020698 0.49020479 0.19170235 0.96002364 0.60096695 0.84287968
#>  [13] 0.34682659 0.25420041 0.91806515 0.33458982 0.92417416 0.59285923
#>  [19] 0.40135467 0.60096695 0.37990642 0.04945586 0.67020698 0.54415090
#>  [25] 0.96002364 0.10706733 0.42192837 0.74126592 0.70593585 0.67020698
#>  [31] 0.94228764 0.28249087 0.98297901 0.53529871 0.22495528 0.95411677
#>  [37] 0.44196431 0.78945355 0.52635952 0.94228764 0.84941543 0.34682659
#>  [43] 0.75516626 0.88785756 0.60096695 0.04945586 0.20854979 0.13459855
#>  [49] 0.15754107 0.15754107 0.67020698 0.54415090 0.88785756 0.93025249
#>  [55] 0.51728833 0.88149922 0.46170144 0.37990642 0.98297901 0.28249087
#>  [61] 0.83630895 0.96002364 0.46170144 0.86235059 0.88785756 0.93628795
#>  [67] 0.44196431 0.80300289 0.75516626 0.57650980 0.49020479 0.81643903
#>  [73] 0.74126592 0.54415090 0.78262908 0.73424797 0.40135467 0.22495528
#>  [79] 0.76896291 0.66269717 0.54415090 0.76896291 0.58469917 0.71317792
#>  [85] 0.87510779 0.63996201 0.34682659 0.88785756 0.46170144 0.71317792
#>  [91] 0.80972471 0.32208844 0.81643903 0.25420041 0.88785756 0.96002364
#>  [97] 0.65512490 0.42192837 0.98297901 0.82968801 0.84941543 0.86235059
#> [103] 0.49020479 0.63217306 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    30    26    81   192   197   106    85    55    63    91   111    42    90 
#> 17.43 15.77 14.06 16.44 21.60 16.67 16.44 19.34 22.77  5.33 17.45 12.43 20.94 
#>   175   101    99   187   117   190 111.1    32    78 192.1    51  91.1    86 
#> 21.91  9.97 21.19  9.92 17.46 20.81 17.45 20.90 23.88 16.44 18.23  5.33 23.81 
#>   128     6     5  85.1    77   136   127   108   194    25   166    13    97 
#> 20.35 15.64 16.43 16.44  7.27 21.83  3.53 18.29 22.40  6.32 19.98 14.34 19.14 
#>  77.1    56  90.1   133   145 111.2  78.1    15   164   129 129.1 192.2  51.1 
#>  7.27 12.21 20.94 14.65 10.07 17.45 23.88 22.68 23.60 23.41 23.41 16.44 18.23 
#> 145.1   183    76    52   105  32.1 127.1 136.1    37  91.2 105.1   107 145.2 
#> 10.07  9.24 19.22 10.42 19.75 20.90  3.53 21.83 12.52  5.33 19.75 11.18 10.07 
#>    16 166.1   123 133.1    40  55.1   154   6.1  51.2    57   125 190.1 194.1 
#>  8.71 19.98 13.00 14.65 18.00 19.34 12.63 15.64 18.23 14.46 15.65 20.81 22.40 
#>    96   130  51.3  96.1   184  26.1    10 106.1  90.2 145.3 105.2  26.2    14 
#> 14.54 16.47 18.23 14.54 17.77 15.77 10.53 16.67 20.94 10.07 19.75 15.77 12.89 
#>   153 154.1 175.1 145.4  91.3   171 128.1 127.2   177  56.1 107.1  55.2    23 
#> 21.33 12.63 21.91 10.07  5.33 16.57 20.35  3.53 12.53 12.21 11.18 19.34 16.92 
#>    44    74   174     9   144    48     1   161   162   151   193   172    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122   104   118   173 144.1   103    94  74.1   156    22 162.1  44.1  22.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   138 118.1   131    46    54    34 151.1  54.1    80    95    35   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71 174.1    67   120 172.1    27 104.1    75   186   200   160   185 138.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 161.1    33    19   176    53    12  12.1 131.1    21 131.2 161.2 162.2     7 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   9.1  95.1    87 173.1  71.1 143.1    17  53.1   119 120.1   135  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1   102   165    84 152.1  74.2  47.1   147 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[64]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004236375               0.824941598               0.305533284 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.59148138             -0.01133142             -0.25109360 
#>   grade_iii, Cure model 
#>              0.64038720 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 14    12.89      1  21        0         0
#> 134   17.81      1  47        1         0
#> 145   10.07      1  65        1         0
#> 194   22.40      1  38        0         1
#> 49    12.19      1  48        1         0
#> 24    23.89      1  38        0         0
#> 79    16.23      1  54        1         0
#> 101    9.97      1  10        0         1
#> 105   19.75      1  60        0         0
#> 107   11.18      1  54        1         0
#> 61    10.12      1  36        0         1
#> 192   16.44      1  31        1         0
#> 92    22.92      1  47        0         1
#> 61.1  10.12      1  36        0         1
#> 8     18.43      1  32        0         0
#> 45    17.42      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 85    16.44      1  36        0         0
#> 169   22.41      1  46        0         0
#> 124.1  9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 89    11.44      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 127    3.53      1  62        0         1
#> 13    14.34      1  54        0         1
#> 14.1  12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 194.1 22.40      1  38        0         1
#> 32    20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 56    12.21      1  60        0         0
#> 150   20.33      1  48        0         0
#> 97    19.14      1  65        0         1
#> 52.1  10.42      1  52        0         1
#> 10    10.53      1  34        0         0
#> 66    22.13      1  53        0         0
#> 133   14.65      1  57        0         0
#> 60.1  13.15      1  38        1         0
#> 10.1  10.53      1  34        0         0
#> 66.1  22.13      1  53        0         0
#> 40    18.00      1  28        1         0
#> 113   22.86      1  34        0         0
#> 136   21.83      1  43        0         1
#> 153   21.33      1  55        1         0
#> 159   10.55      1  50        0         1
#> 57    14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 68    20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 134.1 17.81      1  47        1         0
#> 14.2  12.89      1  21        0         0
#> 66.2  22.13      1  53        0         0
#> 149    8.37      1  33        1         0
#> 111   17.45      1  47        0         1
#> 42    12.43      1  49        0         1
#> 49.1  12.19      1  48        1         0
#> 97.1  19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 15    22.68      1  48        0         0
#> 97.2  19.14      1  65        0         1
#> 171   16.57      1  41        0         1
#> 96    14.54      1  33        0         1
#> 88    18.37      1  47        0         0
#> 51    18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 36    21.19      1  48        0         1
#> 14.3  12.89      1  21        0         0
#> 50    10.02      1  NA        1         0
#> 134.2 17.81      1  47        1         0
#> 89.1  11.44      1  NA        0         0
#> 125   15.65      1  67        1         0
#> 43    12.10      1  61        0         1
#> 123   13.00      1  44        1         0
#> 42.1  12.43      1  49        0         1
#> 91.1   5.33      1  61        0         1
#> 92.1  22.92      1  47        0         1
#> 192.1 16.44      1  31        1         0
#> 154.1 12.63      1  20        1         0
#> 100   16.07      1  60        0         0
#> 15.1  22.68      1  48        0         0
#> 130.1 16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 6     15.64      1  39        0         0
#> 199   19.81      1  NA        0         1
#> 85.1  16.44      1  36        0         0
#> 111.1 17.45      1  47        0         1
#> 86    23.81      1  58        0         1
#> 29    15.45      1  68        1         0
#> 93    10.33      1  52        0         1
#> 68.1  20.62      1  44        0         0
#> 145.1 10.07      1  65        1         0
#> 184.1 17.77      1  38        0         0
#> 39    15.59      1  37        0         1
#> 128   20.35      1  35        0         1
#> 42.2  12.43      1  49        0         1
#> 153.1 21.33      1  55        1         0
#> 128.1 20.35      1  35        0         1
#> 8.1   18.43      1  32        0         0
#> 41    18.02      1  40        1         0
#> 123.1 13.00      1  44        1         0
#> 100.1 16.07      1  60        0         0
#> 88.1  18.37      1  47        0         0
#> 108   18.29      1  39        0         1
#> 150.1 20.33      1  48        0         0
#> 125.1 15.65      1  67        1         0
#> 89.2  11.44      1  NA        0         0
#> 99    21.19      1  38        0         1
#> 187    9.92      1  39        1         0
#> 181   16.46      1  45        0         1
#> 98    24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 7     24.00      0  37        1         0
#> 132   24.00      0  55        0         0
#> 191   24.00      0  60        0         1
#> 72    24.00      0  40        0         1
#> 65    24.00      0  57        1         0
#> 7.1   24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 109   24.00      0  48        0         0
#> 156   24.00      0  50        1         0
#> 163   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 146   24.00      0  63        1         0
#> 98.1  24.00      0  34        1         0
#> 186   24.00      0  45        1         0
#> 94    24.00      0  51        0         1
#> 62    24.00      0  71        0         0
#> 46    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 132.1 24.00      0  55        0         0
#> 156.1 24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 163.1 24.00      0  66        0         0
#> 11.1  24.00      0  42        0         1
#> 1     24.00      0  23        1         0
#> 22    24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 200   24.00      0  64        0         0
#> 116   24.00      0  58        0         1
#> 141   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 103.1 24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 22.1  24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 35.1  24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 74    24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 144   24.00      0  28        0         1
#> 65.1  24.00      0  57        1         0
#> 198   24.00      0  66        0         1
#> 132.2 24.00      0  55        0         0
#> 193   24.00      0  45        0         1
#> 102   24.00      0  49        0         0
#> 28    24.00      0  67        1         0
#> 21    24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 19    24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 11.2  24.00      0  42        0         1
#> 156.2 24.00      0  50        1         0
#> 20.1  24.00      0  46        1         0
#> 74.1  24.00      0  43        0         1
#> 67    24.00      0  25        0         0
#> 102.1 24.00      0  49        0         0
#> 172   24.00      0  41        0         0
#> 64    24.00      0  43        0         0
#> 31.1  24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 132.3 24.00      0  55        0         0
#> 178   24.00      0  52        1         0
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 94.1  24.00      0  51        0         1
#> 54.1  24.00      0  53        1         0
#> 75    24.00      0  21        1         0
#> 165   24.00      0  47        0         0
#> 102.2 24.00      0  49        0         0
#> 54.2  24.00      0  53        1         0
#> 102.3 24.00      0  49        0         0
#> 118   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 115   24.00      0  NA        1         0
#> 84    24.00      0  39        0         1
#> 1.1   24.00      0  23        1         0
#> 151   24.00      0  42        0         0
#> 27    24.00      0  63        1         0
#> 196   24.00      0  19        0         0
#> 138.1 24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 122.1 24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.591         NA        NA      NA
#> 2 age, Cure model          -0.0113        NA        NA      NA
#> 3 grade_ii, Cure model     -0.251         NA        NA      NA
#> 4 grade_iii, Cure model     0.640         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00424        NA        NA      NA
#> 2 grade_ii, Survival model   0.825          NA        NA      NA
#> 3 grade_iii, Survival model  0.306          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.59148          -0.01133          -0.25109           0.64039  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 256.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.59148138      -0.01133142      -0.25109360       0.64038720 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004236375      0.824941598      0.305533284 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.750359959 0.428676971 0.937592345 0.103046696 0.841345316 0.006165885
#>   [7] 0.599096546 0.953331846 0.291109089 0.865560375 0.921656897 0.553320191
#>  [13] 0.033664604 0.921656897 0.343636433 0.495511796 0.716261434 0.553320191
#>  [19] 0.090116561 0.524566378 0.897638433 0.992247839 0.707393644 0.750359959
#>  [25] 0.457081928 0.103046696 0.217946888 0.792291399 0.833109506 0.270144190
#>  [31] 0.312612532 0.897638433 0.881620088 0.126457177 0.680715427 0.716261434
#>  [37] 0.881620088 0.126457177 0.418384968 0.054588635 0.161821127 0.174459830
#>  [43] 0.873593857 0.698516976 0.662858770 0.228511393 0.783851993 0.428676971
#>  [49] 0.750359959 0.126457177 0.969037575 0.476340323 0.808699146 0.841345316
#>  [55] 0.312612532 0.301876066 0.976798816 0.505177030 0.066665653 0.312612532
#>  [61] 0.514884564 0.689626555 0.364807864 0.397008424 0.589776934 0.196360326
#>  [67] 0.750359959 0.428676971 0.626690051 0.857465652 0.733487748 0.808699146
#>  [73] 0.976798816 0.033664604 0.553320191 0.792291399 0.608299463 0.066665653
#>  [79] 0.524566378 0.644701256 0.553320191 0.476340323 0.019959314 0.671829256
#>  [85] 0.913631392 0.228511393 0.937592345 0.457081928 0.653790124 0.249475093
#>  [91] 0.808699146 0.174459830 0.249475093 0.343636433 0.407826367 0.733487748
#>  [97] 0.608299463 0.364807864 0.386203760 0.270144190 0.626690051 0.196360326
#> [103] 0.961214678 0.543692376 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    14   134   145   194    49    24    79   101   105   107    61   192    92 
#> 12.89 17.81 10.07 22.40 12.19 23.89 16.23  9.97 19.75 11.18 10.12 16.44 22.92 
#>  61.1     8    45    60    85   169   130    52   127    13  14.1   184 194.1 
#> 10.12 18.43 17.42 13.15 16.44 22.41 16.47 10.42  3.53 14.34 12.89 17.77 22.40 
#>    32   154    56   150    97  52.1    10    66   133  60.1  10.1  66.1    40 
#> 20.90 12.63 12.21 20.33 19.14 10.42 10.53 22.13 14.65 13.15 10.53 22.13 18.00 
#>   113   136   153   159    57   167    68   140 134.1  14.2  66.2   149   111 
#> 22.86 21.83 21.33 10.55 14.46 15.55 20.62 12.68 17.81 12.89 22.13  8.37 17.45 
#>    42  49.1  97.1    76    91    23    15  97.2   171    96    88    51     5 
#> 12.43 12.19 19.14 19.22  5.33 16.92 22.68 19.14 16.57 14.54 18.37 18.23 16.43 
#>    36  14.3 134.2   125    43   123  42.1  91.1  92.1 192.1 154.1   100  15.1 
#> 21.19 12.89 17.81 15.65 12.10 13.00 12.43  5.33 22.92 16.44 12.63 16.07 22.68 
#> 130.1     6  85.1 111.1    86    29    93  68.1 145.1 184.1    39   128  42.2 
#> 16.47 15.64 16.44 17.45 23.81 15.45 10.33 20.62 10.07 17.77 15.59 20.35 12.43 
#> 153.1 128.1   8.1    41 123.1 100.1  88.1   108 150.1 125.1    99   187   181 
#> 21.33 20.35 18.43 18.02 13.00 16.07 18.37 18.29 20.33 15.65 21.19  9.92 16.46 
#>    98   147     7   132   191    72    65   7.1    35   109   156   163    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    11   146  98.1   186    94    62    46   122 132.1 156.1    31    20    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1  11.1     1    22   103   200   116   141   119 103.1   152  22.1   185 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1     3    74   126   144  65.1   198 132.2   193   102    28    21   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19   173   131  11.2 156.2  20.1  74.1    67 102.1   172    64  31.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.3   178   138    38  94.1  54.1    75   165 102.2  54.2 102.3   118    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   1.1   151    27   196 138.1   142 122.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[65]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001517047               0.475408509               0.351113517 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.85904811              0.01634257             -0.11144219 
#>   grade_iii, Cure model 
#>              0.85786536 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 197   21.60      1  69        1         0
#> 66    22.13      1  53        0         0
#> 52    10.42      1  52        0         1
#> 96    14.54      1  33        0         1
#> 111   17.45      1  47        0         1
#> 36    21.19      1  48        0         1
#> 188   16.16      1  46        0         1
#> 195   11.76      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 117   17.46      1  26        0         1
#> 63    22.77      1  31        1         0
#> 45    17.42      1  54        0         1
#> 136   21.83      1  43        0         1
#> 190   20.81      1  42        1         0
#> 5     16.43      1  51        0         1
#> 85    16.44      1  36        0         0
#> 77     7.27      1  67        0         1
#> 183    9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 51    18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 105   19.75      1  60        0         0
#> 70     7.38      1  30        1         0
#> 97    19.14      1  65        0         1
#> 145   10.07      1  65        1         0
#> 166   19.98      1  48        0         0
#> 194   22.40      1  38        0         1
#> 40    18.00      1  28        1         0
#> 114   13.68      1  NA        0         0
#> 93    10.33      1  52        0         1
#> 155   13.08      1  26        0         0
#> 13    14.34      1  54        0         1
#> 145.1 10.07      1  65        1         0
#> 59    10.16      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 114.1 13.68      1  NA        0         0
#> 183.1  9.24      1  67        1         0
#> 111.1 17.45      1  47        0         1
#> 29    15.45      1  68        1         0
#> 92    22.92      1  47        0         1
#> 188.1 16.16      1  46        0         1
#> 6     15.64      1  39        0         0
#> 77.1   7.27      1  67        0         1
#> 41    18.02      1  40        1         0
#> 18    15.21      1  49        1         0
#> 157   15.10      1  47        0         0
#> 157.1 15.10      1  47        0         0
#> 93.1  10.33      1  52        0         1
#> 113   22.86      1  34        0         0
#> 106   16.67      1  49        1         0
#> 133   14.65      1  57        0         0
#> 45.1  17.42      1  54        0         1
#> 45.2  17.42      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 8     18.43      1  32        0         0
#> 139   21.49      1  63        1         0
#> 113.1 22.86      1  34        0         0
#> 51.1  18.23      1  83        0         1
#> 79    16.23      1  54        1         0
#> 42    12.43      1  49        0         1
#> 93.2  10.33      1  52        0         1
#> 130   16.47      1  53        0         1
#> 125   15.65      1  67        1         0
#> 184   17.77      1  38        0         0
#> 18.1  15.21      1  49        1         0
#> 101    9.97      1  10        0         1
#> 175   21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 92.1  22.92      1  47        0         1
#> 52.1  10.42      1  52        0         1
#> 180   14.82      1  37        0         0
#> 99    21.19      1  38        0         1
#> 129   23.41      1  53        1         0
#> 91     5.33      1  61        0         1
#> 61    10.12      1  36        0         1
#> 79.1  16.23      1  54        1         0
#> 114.2 13.68      1  NA        0         0
#> 145.2 10.07      1  65        1         0
#> 105.1 19.75      1  60        0         0
#> 69    23.23      1  25        0         1
#> 169   22.41      1  46        0         0
#> 81    14.06      1  34        0         0
#> 158   20.14      1  74        1         0
#> 29.1  15.45      1  68        1         0
#> 66.1  22.13      1  53        0         0
#> 25     6.32      1  34        1         0
#> 68    20.62      1  44        0         0
#> 90    20.94      1  50        0         1
#> 110   17.56      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 50    10.02      1  NA        1         0
#> 117.1 17.46      1  26        0         1
#> 32    20.90      1  37        1         0
#> 91.1   5.33      1  61        0         1
#> 50.1  10.02      1  NA        1         0
#> 61.1  10.12      1  36        0         1
#> 59.1  10.16      1  NA        1         0
#> 114.3 13.68      1  NA        0         0
#> 78    23.88      1  43        0         0
#> 181   16.46      1  45        0         1
#> 89    11.44      1  NA        0         0
#> 6.1   15.64      1  39        0         0
#> 188.2 16.16      1  46        0         1
#> 192.2 16.44      1  31        1         0
#> 42.1  12.43      1  49        0         1
#> 150   20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 164   23.60      1  76        0         1
#> 155.1 13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 76    19.22      1  54        0         1
#> 125.1 15.65      1  67        1         0
#> 162   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 74    24.00      0  43        0         1
#> 11    24.00      0  42        0         1
#> 98    24.00      0  34        1         0
#> 75    24.00      0  21        1         0
#> 7     24.00      0  37        1         0
#> 122   24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 147   24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 165   24.00      0  47        0         0
#> 103   24.00      0  56        1         0
#> 160   24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 53    24.00      0  32        0         1
#> 161.1 24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 11.1  24.00      0  42        0         1
#> 33    24.00      0  53        0         0
#> 165.1 24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 132   24.00      0  55        0         0
#> 138   24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 142   24.00      0  53        0         0
#> 34    24.00      0  36        0         0
#> 28.1  24.00      0  67        1         0
#> 95    24.00      0  68        0         1
#> 75.1  24.00      0  21        1         0
#> 44    24.00      0  56        0         0
#> 120   24.00      0  68        0         1
#> 173.1 24.00      0  19        0         1
#> 11.2  24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 98.1  24.00      0  34        1         0
#> 31    24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 138.1 24.00      0  44        1         0
#> 98.2  24.00      0  34        1         0
#> 84    24.00      0  39        0         1
#> 64.1  24.00      0  43        0         0
#> 73    24.00      0  NA        0         1
#> 46.1  24.00      0  71        0         0
#> 121   24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 185.1 24.00      0  44        1         0
#> 62    24.00      0  71        0         0
#> 122.1 24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 72    24.00      0  40        0         1
#> 87    24.00      0  27        0         0
#> 185.2 24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 94    24.00      0  51        0         1
#> 27    24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 103.1 24.00      0  56        1         0
#> 112   24.00      0  61        0         0
#> 3.1   24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 172   24.00      0  41        0         0
#> 161.2 24.00      0  45        0         0
#> 9.1   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 135   24.00      0  58        1         0
#> 3.2   24.00      0  31        1         0
#> 135.1 24.00      0  58        1         0
#> 116   24.00      0  58        0         1
#> 53.1  24.00      0  32        0         1
#> 121.1 24.00      0  57        1         0
#> 148   24.00      0  61        1         0
#> 7.1   24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 48    24.00      0  31        1         0
#> 186.1 24.00      0  45        1         0
#> 121.2 24.00      0  57        1         0
#> 104   24.00      0  50        1         0
#> 84.1  24.00      0  39        0         1
#> 94.1  24.00      0  51        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.859         NA        NA      NA
#> 2 age, Cure model           0.0163        NA        NA      NA
#> 3 grade_ii, Cure model     -0.111         NA        NA      NA
#> 4 grade_iii, Cure model     0.858         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00152        NA        NA      NA
#> 2 grade_ii, Survival model   0.475          NA        NA      NA
#> 3 grade_iii, Survival model  0.351          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.85905           0.01634          -0.11144           0.85787  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    258 
#> Residual Deviance: 247.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.85904811       0.01634257      -0.11144219       0.85786536 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001517047      0.475408509      0.351113517 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.28161474 0.22914787 0.86833702 0.80925644 0.56004885 0.31815065
#>   [7] 0.69467728 0.18746573 0.54198203 0.17329643 0.57781450 0.26859621
#>  [13] 0.36257877 0.67044810 0.63801643 0.96640308 0.94588660 0.38393823
#>  [19] 0.48550460 0.63801643 0.42552302 0.95957016 0.46579876 0.91819120
#>  [25] 0.41525320 0.21557414 0.51401157 0.88277210 0.83160092 0.81673037
#>  [31] 0.91819120 0.60361746 0.94588660 0.56004885 0.74907454 0.11557153
#>  [37] 0.69467728 0.73362300 0.96640308 0.50453361 0.76428037 0.77926770
#>  [43] 0.77926770 0.88277210 0.14457624 0.61233179 0.80174828 0.57781450
#>  [49] 0.57781450 0.63801643 0.47565675 0.29417689 0.14457624 0.48550460
#>  [55] 0.67865332 0.85377186 0.88277210 0.62095617 0.71815160 0.52337244
#>  [61] 0.76428037 0.93894116 0.25524367 0.44572319 0.11557153 0.86833702
#>  [67] 0.79423376 0.31815065 0.07769765 0.98665696 0.90405667 0.67865332
#>  [73] 0.91819120 0.42552302 0.09749866 0.20155514 0.82416742 0.40496419
#>  [79] 0.74907454 0.22914787 0.97991162 0.37326904 0.34049507 0.53272338
#>  [85] 0.54198203 0.35165850 0.98665696 0.90405667 0.02091092 0.62951641
#>  [91] 0.73362300 0.69467728 0.63801643 0.85377186 0.39446178 0.84639090
#>  [97] 0.05336316 0.83160092 0.30633926 0.45582086 0.71815160 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>   197    66    52    96   111    36   188    15   117    63    45   136   190 
#> 21.60 22.13 10.42 14.54 17.45 21.19 16.16 22.68 17.46 22.77 17.42 21.83 20.81 
#>     5    85    77   183   128    51   192   105    70    97   145   166   194 
#> 16.43 16.44  7.27  9.24 20.35 18.23 16.44 19.75  7.38 19.14 10.07 19.98 22.40 
#>    40    93   155    13 145.1    23 183.1 111.1    29    92 188.1     6  77.1 
#> 18.00 10.33 13.08 14.34 10.07 16.92  9.24 17.45 15.45 22.92 16.16 15.64  7.27 
#>    41    18   157 157.1  93.1   113   106   133  45.1  45.2 192.1     8   139 
#> 18.02 15.21 15.10 15.10 10.33 22.86 16.67 14.65 17.42 17.42 16.44 18.43 21.49 
#> 113.1  51.1    79    42  93.2   130   125   184  18.1   101   175   170  92.1 
#> 22.86 18.23 16.23 12.43 10.33 16.47 15.65 17.77 15.21  9.97 21.91 19.54 22.92 
#>  52.1   180    99   129    91    61  79.1 145.2 105.1    69   169    81   158 
#> 10.42 14.82 21.19 23.41  5.33 10.12 16.23 10.07 19.75 23.23 22.41 14.06 20.14 
#>  29.1  66.1    25    68    90   110 117.1    32  91.1  61.1    78   181   6.1 
#> 15.45 22.13  6.32 20.62 20.94 17.56 17.46 20.90  5.33 10.12 23.88 16.46 15.64 
#> 188.2 192.2  42.1   150   123   164 155.1   153    76 125.1   162   137    54 
#> 16.16 16.44 12.43 20.33 13.00 23.60 13.08 21.33 19.22 15.65 24.00 24.00 24.00 
#>    74    11    98    75     7   122   109   147   176   161   165   103   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80    53 161.1    64  11.1    33 165.1    28    46   173   132   138     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   191   142    34  28.1    95  75.1    44   120 173.1  11.2     3  98.1    31 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    71   185   102 138.1  98.2    84  64.1  46.1   121    67 185.1    62 122.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2    72    87 185.2    94    27   152 103.1   112   3.1  74.1   172 161.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   9.1   186   196   135   3.2 135.1   116  53.1 121.1   148   7.1    35    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1 121.2   104  84.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[66]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01079658                0.36022904                0.45475961 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.06877809              0.02453311              0.12071650 
#>   grade_iii, Cure model 
#>              0.29307203 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 42    12.43      1  49        0         1
#> 69    23.23      1  25        0         1
#> 134   17.81      1  47        1         0
#> 63    22.77      1  31        1         0
#> 125   15.65      1  67        1         0
#> 90    20.94      1  50        0         1
#> 40    18.00      1  28        1         0
#> 68    20.62      1  44        0         0
#> 111   17.45      1  47        0         1
#> 85    16.44      1  36        0         0
#> 16     8.71      1  71        0         1
#> 127    3.53      1  62        0         1
#> 113   22.86      1  34        0         0
#> 29    15.45      1  68        1         0
#> 136   21.83      1  43        0         1
#> 81    14.06      1  34        0         0
#> 40.1  18.00      1  28        1         0
#> 78    23.88      1  43        0         0
#> 105   19.75      1  60        0         0
#> 188   16.16      1  46        0         1
#> 6     15.64      1  39        0         0
#> 145   10.07      1  65        1         0
#> 100   16.07      1  60        0         0
#> 16.1   8.71      1  71        0         1
#> 150   20.33      1  48        0         0
#> 45    17.42      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 127.1  3.53      1  62        0         1
#> 197   21.60      1  69        1         0
#> 91     5.33      1  61        0         1
#> 125.1 15.65      1  67        1         0
#> 140   12.68      1  59        1         0
#> 157   15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 85.1  16.44      1  36        0         0
#> 195   11.76      1  NA        1         0
#> 134.1 17.81      1  47        1         0
#> 183    9.24      1  67        1         0
#> 181   16.46      1  45        0         1
#> 85.2  16.44      1  36        0         0
#> 197.1 21.60      1  69        1         0
#> 43    12.10      1  61        0         1
#> 177   12.53      1  75        0         0
#> 85.3  16.44      1  36        0         0
#> 177.1 12.53      1  75        0         0
#> 159   10.55      1  50        0         1
#> 183.1  9.24      1  67        1         0
#> 77     7.27      1  67        0         1
#> 169   22.41      1  46        0         0
#> 106   16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 168   23.72      1  70        0         0
#> 123   13.00      1  44        1         0
#> 50    10.02      1  NA        1         0
#> 76    19.22      1  54        0         1
#> 18    15.21      1  49        1         0
#> 105.1 19.75      1  60        0         0
#> 139   21.49      1  63        1         0
#> 177.2 12.53      1  75        0         0
#> 125.2 15.65      1  67        1         0
#> 113.1 22.86      1  34        0         0
#> 66    22.13      1  53        0         0
#> 18.1  15.21      1  49        1         0
#> 184   17.77      1  38        0         0
#> 179   18.63      1  42        0         0
#> 166   19.98      1  48        0         0
#> 117   17.46      1  26        0         1
#> 36    21.19      1  48        0         1
#> 76.1  19.22      1  54        0         1
#> 181.1 16.46      1  45        0         1
#> 179.1 18.63      1  42        0         0
#> 10    10.53      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 192.1 16.44      1  31        1         0
#> 190   20.81      1  42        1         0
#> 37    12.52      1  57        1         0
#> 197.2 21.60      1  69        1         0
#> 49    12.19      1  48        1         0
#> 187    9.92      1  39        1         0
#> 70     7.38      1  30        1         0
#> 167   15.55      1  56        1         0
#> 130   16.47      1  53        0         1
#> 195.1 11.76      1  NA        1         0
#> 133   14.65      1  57        0         0
#> 123.1 13.00      1  44        1         0
#> 30    17.43      1  78        0         0
#> 89    11.44      1  NA        0         0
#> 190.1 20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 150.1 20.33      1  48        0         0
#> 150.2 20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 41    18.02      1  40        1         0
#> 6.1   15.64      1  39        0         0
#> 13.1  14.34      1  54        0         1
#> 192.2 16.44      1  31        1         0
#> 197.3 21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 154   12.63      1  20        1         0
#> 177.3 12.53      1  75        0         0
#> 134.2 17.81      1  47        1         0
#> 136.1 21.83      1  43        0         1
#> 187.1  9.92      1  39        1         0
#> 113.2 22.86      1  34        0         0
#> 81.2  14.06      1  34        0         0
#> 187.2  9.92      1  39        1         0
#> 59    10.16      1  NA        1         0
#> 18.2  15.21      1  49        1         0
#> 192.3 16.44      1  31        1         0
#> 5     16.43      1  51        0         1
#> 129   23.41      1  53        1         0
#> 161   24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 34    24.00      0  36        0         0
#> 28    24.00      0  67        1         0
#> 46    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 71    24.00      0  51        0         0
#> 9     24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 28.1  24.00      0  67        1         0
#> 67    24.00      0  25        0         0
#> 191   24.00      0  60        0         1
#> 160   24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 146   24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 191.1 24.00      0  60        0         1
#> 31    24.00      0  36        0         1
#> 82    24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 47    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 94    24.00      0  51        0         1
#> 46.1  24.00      0  71        0         0
#> 28.2  24.00      0  67        1         0
#> 156   24.00      0  50        1         0
#> 94.1  24.00      0  51        0         1
#> 35    24.00      0  51        0         0
#> 71.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 144   24.00      0  28        0         1
#> 9.2   24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 122.1 24.00      0  66        0         0
#> 84    24.00      0  39        0         1
#> 21    24.00      0  47        0         0
#> 142   24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 1     24.00      0  23        1         0
#> 80    24.00      0  41        0         0
#> 137   24.00      0  45        1         0
#> 191.2 24.00      0  60        0         1
#> 103   24.00      0  56        1         0
#> 64    24.00      0  43        0         0
#> 126   24.00      0  48        0         0
#> 178.1 24.00      0  52        1         0
#> 47.1  24.00      0  38        0         1
#> 143   24.00      0  51        0         0
#> 94.2  24.00      0  51        0         1
#> 82.1  24.00      0  34        0         0
#> 98    24.00      0  34        1         0
#> 138.1 24.00      0  44        1         0
#> 71.2  24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 19    24.00      0  57        0         1
#> 178.2 24.00      0  52        1         0
#> 121   24.00      0  57        1         0
#> 72.1  24.00      0  40        0         1
#> 186   24.00      0  45        1         0
#> 102   24.00      0  49        0         0
#> 126.1 24.00      0  48        0         0
#> 161.1 24.00      0  45        0         0
#> 143.1 24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 20    24.00      0  46        1         0
#> 82.2  24.00      0  34        0         0
#> 72.2  24.00      0  40        0         1
#> 75    24.00      0  21        1         0
#> 83    24.00      0   6        0         0
#> 31.1  24.00      0  36        0         1
#> 172   24.00      0  41        0         0
#> 178.3 24.00      0  52        1         0
#> 20.1  24.00      0  46        1         0
#> 148   24.00      0  61        1         0
#> 162   24.00      0  51        0         0
#> 72.3  24.00      0  40        0         1
#> 83.1  24.00      0   6        0         0
#> 7     24.00      0  37        1         0
#> 7.1   24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 80.1  24.00      0  41        0         0
#> 65    24.00      0  57        1         0
#> 152   24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.07          NA        NA      NA
#> 2 age, Cure model           0.0245        NA        NA      NA
#> 3 grade_ii, Cure model      0.121         NA        NA      NA
#> 4 grade_iii, Cure model     0.293         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0108        NA        NA      NA
#> 2 grade_ii, Survival model    0.360         NA        NA      NA
#> 3 grade_iii, Survival model   0.455         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.06878           0.02453           0.12072           0.29307  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 260.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.06877809       0.02453311       0.12071650       0.29307203 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01079658       0.36022904       0.45475961 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.92161502 0.20629370 0.62315112 0.29485286 0.78392641 0.45607265
#>   [7] 0.60778399 0.49553456 0.65948086 0.71965486 0.97083441 0.99186094
#>  [13] 0.23262399 0.82240673 0.35473210 0.86364208 0.60778399 0.07167619
#>  [19] 0.54143672 0.77227119 0.80050569 0.94452594 0.77811869 0.97083441
#>  [25] 0.50512441 0.67357192 0.86364208 0.99186094 0.38683107 0.98771215
#>  [31] 0.78392641 0.88839266 0.84325710 0.71965486 0.71965486 0.62315112
#>  [37] 0.96218614 0.70706626 0.71965486 0.38683107 0.93088879 0.89813646
#>  [43] 0.71965486 0.89813646 0.93546293 0.96218614 0.98352742 0.31566899
#>  [49] 0.68724058 0.69394777 0.13439230 0.87856283 0.56762015 0.82775210
#>  [55] 0.54143672 0.43343006 0.89813646 0.78392641 0.23262399 0.33563888
#>  [61] 0.82775210 0.64495225 0.58386864 0.53231991 0.65226051 0.44498826
#>  [67] 0.56762015 0.70706626 0.58386864 0.93999928 0.45607265 0.68043824
#>  [73] 0.71965486 0.47631650 0.91692212 0.38683107 0.92626824 0.94901192
#>  [79] 0.97930227 0.81699142 0.70056206 0.84843632 0.87856283 0.66657559
#>  [85] 0.47631650 0.81151717 0.50512441 0.50512441 0.85358880 0.59986181
#>  [91] 0.80050569 0.85358880 0.71965486 0.38683107 0.55898297 0.89327491
#>  [97] 0.89813646 0.62315112 0.35473210 0.94901192 0.23262399 0.86364208
#> [103] 0.94901192 0.82775210 0.71965486 0.76635247 0.17584032 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    42    69   134    63   125    90    40    68   111    85    16   127   113 
#> 12.43 23.23 17.81 22.77 15.65 20.94 18.00 20.62 17.45 16.44  8.71  3.53 22.86 
#>    29   136    81  40.1    78   105   188     6   145   100  16.1   150    45 
#> 15.45 21.83 14.06 18.00 23.88 19.75 16.16 15.64 10.07 16.07  8.71 20.33 17.42 
#>  81.1 127.1   197    91 125.1   140   157   192  85.1 134.1   183   181  85.2 
#> 14.06  3.53 21.60  5.33 15.65 12.68 15.10 16.44 16.44 17.81  9.24 16.46 16.44 
#> 197.1    43   177  85.3 177.1   159 183.1    77   169   106   171   168   123 
#> 21.60 12.10 12.53 16.44 12.53 10.55  9.24  7.27 22.41 16.67 16.57 23.72 13.00 
#>    76    18 105.1   139 177.2 125.2 113.1    66  18.1   184   179   166   117 
#> 19.22 15.21 19.75 21.49 12.53 15.65 22.86 22.13 15.21 17.77 18.63 19.98 17.46 
#>    36  76.1 181.1 179.1    10  90.1    23 192.1   190    37 197.2    49   187 
#> 21.19 19.22 16.46 18.63 10.53 20.94 16.92 16.44 20.81 12.52 21.60 12.19  9.92 
#>    70   167   130   133 123.1    30 190.1    39 150.1 150.2    13    41   6.1 
#>  7.38 15.55 16.47 14.65 13.00 17.43 20.81 15.59 20.33 20.33 14.34 18.02 15.64 
#>  13.1 192.2 197.3   170   154 177.3 134.2 136.1 187.1 113.2  81.2 187.2  18.2 
#> 14.34 16.44 21.60 19.54 12.63 12.53 17.81 21.83  9.92 22.86 14.06  9.92 15.21 
#> 192.3     5   129   161   196    34    28    46   141    71     9   104  28.1 
#> 16.44 16.43 23.41 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   191   160   9.1    22   146   193 191.1    31    82   174    47   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   122     3    94  46.1  28.2   156  94.1    35  71.1    44   144   9.2   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.1    72 122.1    84    21   142   178     1    80   137 191.2   103    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126 178.1  47.1   143  94.2  82.1    98 138.1  71.2    19 178.2   121  72.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   102 126.1 161.1 143.1     2    20  82.2  72.2    75    83  31.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 178.3  20.1   148   162  72.3  83.1     7   7.1   109  80.1    65   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[67]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00910622                1.17469684                0.14366265 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.50276845              0.01639735             -0.27893393 
#>   grade_iii, Cure model 
#>              0.12400950 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 45    17.42      1  54        0         1
#> 123   13.00      1  44        1         0
#> 13    14.34      1  54        0         1
#> 113   22.86      1  34        0         0
#> 50    10.02      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 85    16.44      1  36        0         0
#> 113.1 22.86      1  34        0         0
#> 107   11.18      1  54        1         0
#> 85.1  16.44      1  36        0         0
#> 85.2  16.44      1  36        0         0
#> 124    9.73      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 194.1 22.40      1  38        0         1
#> 179   18.63      1  42        0         0
#> 57    14.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 117   17.46      1  26        0         1
#> 25     6.32      1  34        1         0
#> 29    15.45      1  68        1         0
#> 79    16.23      1  54        1         0
#> 49    12.19      1  48        1         0
#> 140   12.68      1  59        1         0
#> 13.1  14.34      1  54        0         1
#> 55    19.34      1  69        0         1
#> 107.1 11.18      1  54        1         0
#> 158   20.14      1  74        1         0
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 128   20.35      1  35        0         1
#> 25.1   6.32      1  34        1         0
#> 180   14.82      1  37        0         0
#> 43    12.10      1  61        0         1
#> 130   16.47      1  53        0         1
#> 145   10.07      1  65        1         0
#> 199   19.81      1  NA        0         1
#> 49.1  12.19      1  48        1         0
#> 130.1 16.47      1  53        0         1
#> 106   16.67      1  49        1         0
#> 86    23.81      1  58        0         1
#> 100.1 16.07      1  60        0         0
#> 105.1 19.75      1  60        0         0
#> 136   21.83      1  43        0         1
#> 60    13.15      1  38        1         0
#> 61    10.12      1  36        0         1
#> 60.1  13.15      1  38        1         0
#> 192   16.44      1  31        1         0
#> 70     7.38      1  30        1         0
#> 128.1 20.35      1  35        0         1
#> 63    22.77      1  31        1         0
#> 78    23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 36    21.19      1  48        0         1
#> 111   17.45      1  47        0         1
#> 56    12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 61.1  10.12      1  36        0         1
#> 167   15.55      1  56        1         0
#> 166   19.98      1  48        0         0
#> 168   23.72      1  70        0         0
#> 140.1 12.68      1  59        1         0
#> 86.1  23.81      1  58        0         1
#> 130.2 16.47      1  53        0         1
#> 90    20.94      1  50        0         1
#> 179.1 18.63      1  42        0         0
#> 15    22.68      1  48        0         0
#> 107.2 11.18      1  54        1         0
#> 171   16.57      1  41        0         1
#> 149    8.37      1  33        1         0
#> 110   17.56      1  65        0         1
#> 105.2 19.75      1  60        0         0
#> 88    18.37      1  47        0         0
#> 15.1  22.68      1  48        0         0
#> 6     15.64      1  39        0         0
#> 14    12.89      1  21        0         0
#> 18    15.21      1  49        1         0
#> 150   20.33      1  48        0         0
#> 188   16.16      1  46        0         1
#> 128.2 20.35      1  35        0         1
#> 125   15.65      1  67        1         0
#> 170   19.54      1  43        0         1
#> 124.1  9.73      1  NA        1         0
#> 49.2  12.19      1  48        1         0
#> 168.1 23.72      1  70        0         0
#> 183    9.24      1  67        1         0
#> 149.1  8.37      1  33        1         0
#> 110.1 17.56      1  65        0         1
#> 57.1  14.46      1  45        0         1
#> 37    12.52      1  57        1         0
#> 110.2 17.56      1  65        0         1
#> 92    22.92      1  47        0         1
#> 76    19.22      1  54        0         1
#> 89    11.44      1  NA        0         0
#> 130.3 16.47      1  53        0         1
#> 13.2  14.34      1  54        0         1
#> 168.2 23.72      1  70        0         0
#> 158.1 20.14      1  74        1         0
#> 179.2 18.63      1  42        0         0
#> 39    15.59      1  37        0         1
#> 167.1 15.55      1  56        1         0
#> 6.1   15.64      1  39        0         0
#> 56.1  12.21      1  60        0         0
#> 60.2  13.15      1  38        1         0
#> 69    23.23      1  25        0         1
#> 97.1  19.14      1  65        0         1
#> 86.2  23.81      1  58        0         1
#> 77     7.27      1  67        0         1
#> 184   17.77      1  38        0         0
#> 54    24.00      0  53        1         0
#> 152   24.00      0  36        0         1
#> 185   24.00      0  44        1         0
#> 121   24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 74    24.00      0  43        0         1
#> 120.1 24.00      0  68        0         1
#> 135   24.00      0  58        1         0
#> 94    24.00      0  51        0         1
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 73.1  24.00      0  NA        0         1
#> 138   24.00      0  44        1         0
#> 152.1 24.00      0  36        0         1
#> 156   24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 12    24.00      0  63        0         0
#> 72    24.00      0  40        0         1
#> 17    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 173   24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 198   24.00      0  66        0         1
#> 116.1 24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 17.1  24.00      0  38        0         1
#> 94.1  24.00      0  51        0         1
#> 182   24.00      0  35        0         0
#> 186.1 24.00      0  45        1         0
#> 9.1   24.00      0  31        1         0
#> 82    24.00      0  34        0         0
#> 7     24.00      0  37        1         0
#> 116.2 24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 44    24.00      0  56        0         0
#> 38    24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 141   24.00      0  44        1         0
#> 28    24.00      0  67        1         0
#> 138.1 24.00      0  44        1         0
#> 17.2  24.00      0  38        0         1
#> 196   24.00      0  19        0         0
#> 73.2  24.00      0  NA        0         1
#> 135.1 24.00      0  58        1         0
#> 161   24.00      0  45        0         0
#> 137   24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 1     24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 143   24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 137.1 24.00      0  45        1         0
#> 95    24.00      0  68        0         1
#> 103   24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 44.1  24.00      0  56        0         0
#> 72.1  24.00      0  40        0         1
#> 47.1  24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 182.1 24.00      0  35        0         0
#> 119   24.00      0  17        0         0
#> 135.2 24.00      0  58        1         0
#> 141.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 82.1  24.00      0  34        0         0
#> 72.2  24.00      0  40        0         1
#> 94.2  24.00      0  51        0         1
#> 151.1 24.00      0  42        0         0
#> 104   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 74.1  24.00      0  43        0         1
#> 12.1  24.00      0  63        0         0
#> 104.1 24.00      0  50        1         0
#> 135.3 24.00      0  58        1         0
#> 94.3  24.00      0  51        0         1
#> 186.2 24.00      0  45        1         0
#> 141.2 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 3     24.00      0  31        1         0
#> 95.1  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.503         NA        NA      NA
#> 2 age, Cure model           0.0164        NA        NA      NA
#> 3 grade_ii, Cure model     -0.279         NA        NA      NA
#> 4 grade_iii, Cure model     0.124         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00911        NA        NA      NA
#> 2 grade_ii, Survival model   1.17           NA        NA      NA
#> 3 grade_iii, Survival model  0.144          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.5028            0.0164           -0.2789            0.1240  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.5 
#> Residual Deviance: 259.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.50276845       0.01639735      -0.27893393       0.12400950 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00910622       1.17469684       0.14366265 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.115955631 0.440264414 0.786942572 0.717840164 0.061553870 0.595146915
#>   [7] 0.512912239 0.061553870 0.888650486 0.512912239 0.512912239 0.574333367
#>  [13] 0.747965931 0.368374981 0.115955631 0.316047818 0.697861484 0.144299725
#>  [19] 0.419243599 0.983628825 0.667801518 0.553691769 0.852706167 0.806098463
#>  [25] 0.717840164 0.275425669 0.888650486 0.209666848 0.237140477 0.357958606
#>  [31] 0.172275439 0.983628825 0.687866966 0.879571198 0.471640506 0.932428907
#>  [37] 0.852706167 0.471640506 0.450881376 0.007103405 0.574333367 0.237140477
#>  [43] 0.134519464 0.758182800 0.914832886 0.758182800 0.512912239 0.966829186
#>  [49] 0.172275439 0.080527209 0.001618139 0.295609155 0.153481867 0.429722192
#>  [55] 0.834056435 0.106559937 0.914832886 0.647503502 0.227767952 0.021416796
#>  [61] 0.806098463 0.007103405 0.471640506 0.162805991 0.316047818 0.089100179
#>  [67] 0.888650486 0.461236969 0.949915515 0.388653272 0.237140477 0.347149449
#>  [73] 0.089100179 0.616105315 0.796510494 0.677913815 0.199849232 0.563989846
#>  [79] 0.172275439 0.605694886 0.265525011 0.852706167 0.021416796 0.941203022
#>  [85] 0.949915515 0.388653272 0.697861484 0.824766794 0.388653272 0.052069754
#>  [91] 0.285464965 0.471640506 0.717840164 0.021416796 0.209666848 0.316047818
#>  [97] 0.636959200 0.647503502 0.616105315 0.834056435 0.758182800 0.042997884
#> [103] 0.295609155 0.007103405 0.975215520 0.378474394 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   194    45   123    13   113    26    85 113.1   107  85.1  85.2   100    81 
#> 22.40 17.42 13.00 14.34 22.86 15.77 16.44 22.86 11.18 16.44 16.44 16.07 14.06 
#>   134 194.1   179    57   153   117    25    29    79    49   140  13.1    55 
#> 17.81 22.40 18.63 14.46 21.33 17.46  6.32 15.45 16.23 12.19 12.68 14.34 19.34 
#> 107.1   158   105    41   128  25.1   180    43   130   145  49.1 130.1   106 
#> 11.18 20.14 19.75 18.02 20.35  6.32 14.82 12.10 16.47 10.07 12.19 16.47 16.67 
#>    86 100.1 105.1   136    60    61  60.1   192    70 128.1    63    78    97 
#> 23.81 16.07 19.75 21.83 13.15 10.12 13.15 16.44  7.38 20.35 22.77 23.88 19.14 
#>    36   111    56   169  61.1   167   166   168 140.1  86.1 130.2    90 179.1 
#> 21.19 17.45 12.21 22.41 10.12 15.55 19.98 23.72 12.68 23.81 16.47 20.94 18.63 
#>    15 107.2   171   149   110 105.2    88  15.1     6    14    18   150   188 
#> 22.68 11.18 16.57  8.37 17.56 19.75 18.37 22.68 15.64 12.89 15.21 20.33 16.16 
#> 128.2   125   170  49.2 168.1   183 149.1 110.1  57.1    37 110.2    92    76 
#> 20.35 15.65 19.54 12.19 23.72  9.24  8.37 17.56 14.46 12.52 17.56 22.92 19.22 
#> 130.3  13.2 168.2 158.1 179.2    39 167.1   6.1  56.1  60.2    69  97.1  86.2 
#> 16.47 14.34 23.72 20.14 18.63 15.59 15.55 15.64 12.21 13.15 23.23 19.14 23.81 
#>    77   184    54   152   185   121   116   120   186    74 120.1   135    94 
#>  7.27 17.77 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   138 152.1   156    31    71    12    72    17    19   173   118    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   198 116.1   122    87  17.1  94.1   182 186.1   9.1    82     7 116.2   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44    38   112   141    28 138.1  17.2   196 135.1   161   137    62     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47   165   143    67 137.1    95   103   132  44.1  72.1  47.1   162 182.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   119 135.2 141.1   151  82.1  72.2  94.2 151.1   104   178   174  74.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1 135.3  94.3 186.2 141.2    80   148     3  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[68]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.005234685               0.395833677               0.336948930 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.64502811              0.02706474              0.39588523 
#>   grade_iii, Cure model 
#>              0.96671236 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 183    9.24      1  67        1         0
#> 88    18.37      1  47        0         0
#> 117   17.46      1  26        0         1
#> 180   14.82      1  37        0         0
#> 89    11.44      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 4     17.64      1  NA        0         1
#> 125   15.65      1  67        1         0
#> 180.1 14.82      1  37        0         0
#> 158   20.14      1  74        1         0
#> 58    19.34      1  39        0         0
#> 96    14.54      1  33        0         1
#> 59    10.16      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 108   18.29      1  39        0         1
#> 60    13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 77     7.27      1  67        0         1
#> 97    19.14      1  65        0         1
#> 171   16.57      1  41        0         1
#> 106   16.67      1  49        1         0
#> 101    9.97      1  10        0         1
#> 190   20.81      1  42        1         0
#> 114   13.68      1  NA        0         0
#> 91     5.33      1  61        0         1
#> 13    14.34      1  54        0         1
#> 78    23.88      1  43        0         0
#> 69    23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 100   16.07      1  60        0         0
#> 114.1 13.68      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 100.1 16.07      1  60        0         0
#> 117.1 17.46      1  26        0         1
#> 127    3.53      1  62        0         1
#> 39    15.59      1  37        0         1
#> 139   21.49      1  63        1         0
#> 92.1  22.92      1  47        0         1
#> 57    14.46      1  45        0         1
#> 183.1  9.24      1  67        1         0
#> 190.1 20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 10    10.53      1  34        0         0
#> 97.1  19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 77.1   7.27      1  67        0         1
#> 127.1  3.53      1  62        0         1
#> 79    16.23      1  54        1         0
#> 66    22.13      1  53        0         0
#> 79.1  16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 159   10.55      1  50        0         1
#> 139.1 21.49      1  63        1         0
#> 42    12.43      1  49        0         1
#> 107   11.18      1  54        1         0
#> 195.1 11.76      1  NA        1         0
#> 4.1   17.64      1  NA        0         1
#> 86    23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 4.2   17.64      1  NA        0         1
#> 133   14.65      1  57        0         0
#> 114.2 13.68      1  NA        0         0
#> 36.1  21.19      1  48        0         1
#> 97.2  19.14      1  65        0         1
#> 183.2  9.24      1  67        1         0
#> 129   23.41      1  53        1         0
#> 149    8.37      1  33        1         0
#> 181   16.46      1  45        0         1
#> 133.1 14.65      1  57        0         0
#> 117.2 17.46      1  26        0         1
#> 175   21.91      1  43        0         0
#> 107.1 11.18      1  54        1         0
#> 43    12.10      1  61        0         1
#> 106.1 16.67      1  49        1         0
#> 129.1 23.41      1  53        1         0
#> 183.3  9.24      1  67        1         0
#> 169.1 22.41      1  46        0         0
#> 36.2  21.19      1  48        0         1
#> 133.2 14.65      1  57        0         0
#> 199   19.81      1  NA        0         1
#> 139.2 21.49      1  63        1         0
#> 76    19.22      1  54        0         1
#> 16     8.71      1  71        0         1
#> 52    10.42      1  52        0         1
#> 164   23.60      1  76        0         1
#> 192   16.44      1  31        1         0
#> 49    12.19      1  48        1         0
#> 167   15.55      1  56        1         0
#> 55    19.34      1  69        0         1
#> 16.1   8.71      1  71        0         1
#> 159.1 10.55      1  50        0         1
#> 40    18.00      1  28        1         0
#> 60.1  13.15      1  38        1         0
#> 63    22.77      1  31        1         0
#> 199.1 19.81      1  NA        0         1
#> 42.1  12.43      1  49        0         1
#> 140   12.68      1  59        1         0
#> 106.2 16.67      1  49        1         0
#> 107.2 11.18      1  54        1         0
#> 23    16.92      1  61        0         0
#> 69.1  23.23      1  25        0         1
#> 127.2  3.53      1  62        0         1
#> 195.2 11.76      1  NA        1         0
#> 124.1  9.73      1  NA        1         0
#> 5     16.43      1  51        0         1
#> 114.3 13.68      1  NA        0         0
#> 70     7.38      1  30        1         0
#> 114.4 13.68      1  NA        0         0
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 43.1  12.10      1  61        0         1
#> 121   24.00      0  57        1         0
#> 74    24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 28    24.00      0  67        1         0
#> 54    24.00      0  53        1         0
#> 82    24.00      0  34        0         0
#> 161   24.00      0  45        0         0
#> 109   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 35    24.00      0  51        0         0
#> 174   24.00      0  49        1         0
#> 2     24.00      0   9        0         0
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 34    24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 83    24.00      0   6        0         0
#> 47    24.00      0  38        0         1
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 65    24.00      0  57        1         0
#> 74.1  24.00      0  43        0         1
#> 35.1  24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 109.1 24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 75    24.00      0  21        1         0
#> 46    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 95    24.00      0  68        0         1
#> 53.1  24.00      0  32        0         1
#> 138   24.00      0  44        1         0
#> 35.2  24.00      0  51        0         0
#> 65.1  24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 151   24.00      0  42        0         0
#> 67    24.00      0  25        0         0
#> 67.1  24.00      0  25        0         0
#> 33    24.00      0  53        0         0
#> 35.3  24.00      0  51        0         0
#> 193.1 24.00      0  45        0         1
#> 152   24.00      0  36        0         1
#> 71.1  24.00      0  51        0         0
#> 38    24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 118   24.00      0  44        1         0
#> 1     24.00      0  23        1         0
#> 191.1 24.00      0  60        0         1
#> 165   24.00      0  47        0         0
#> 115   24.00      0  NA        1         0
#> 178   24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 193.2 24.00      0  45        0         1
#> 148   24.00      0  61        1         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 174.1 24.00      0  49        1         0
#> 172   24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 138.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 116   24.00      0  58        0         1
#> 7     24.00      0  37        1         0
#> 17    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 9     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 83.1  24.00      0   6        0         0
#> 38.1  24.00      0  31        1         0
#> 74.2  24.00      0  43        0         1
#> 182   24.00      0  35        0         0
#> 109.2 24.00      0  48        0         0
#> 161.1 24.00      0  45        0         0
#> 31.1  24.00      0  36        0         1
#> 84.1  24.00      0  39        0         1
#> 148.1 24.00      0  61        1         0
#> 17.1  24.00      0  38        0         1
#> 75.1  24.00      0  21        1         0
#> 163.2 24.00      0  66        0         0
#> 71.2  24.00      0  51        0         0
#> 173.1 24.00      0  19        0         1
#> 118.1 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.65          NA        NA      NA
#> 2 age, Cure model           0.0271        NA        NA      NA
#> 3 grade_ii, Cure model      0.396         NA        NA      NA
#> 4 grade_iii, Cure model     0.967         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00523        NA        NA      NA
#> 2 grade_ii, Survival model   0.396          NA        NA      NA
#> 3 grade_iii, Survival model  0.337          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.64503           0.02706           0.39589           0.96671  
#> 
#> Degrees of Freedom: 181 Total (i.e. Null);  178 Residual
#> Null Deviance:	    252 
#> Residual Deviance: 238.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.64502811       0.02706474       0.39588523       0.96671236 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.005234685      0.395833677      0.336948930 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.90649143 0.53368794 0.56199801 0.72043432 0.79555922 0.69696958
#>   [7] 0.72043432 0.45335746 0.47472536 0.75841035 0.03521142 0.54324224
#>  [13] 0.78095030 0.24698192 0.95729205 0.50539639 0.62322031 0.59769812
#>  [19] 0.89983312 0.42039134 0.97585391 0.77349755 0.07991691 0.21313475
#>  [25] 0.38643183 0.68107921 0.46407653 0.68107921 0.56199801 0.98199792
#>  [31] 0.70486018 0.34990598 0.24698192 0.76598265 0.90649143 0.42039134
#>  [37] 0.88642724 0.50539639 0.96967382 0.95729205 0.98199792 0.66505087
#>  [43] 0.32121042 0.66505087 0.29260696 0.87301042 0.34990598 0.81746197
#>  [49] 0.85270794 0.11975323 0.80288766 0.73577074 0.38643183 0.50539639
#>  [55] 0.90649143 0.17577050 0.94467760 0.63175957 0.73577074 0.56199801
#>  [61] 0.33563555 0.85270794 0.83879580 0.59769812 0.17577050 0.90649143
#>  [67] 0.29260696 0.38643183 0.73577074 0.34990598 0.49522225 0.93200988
#>  [73] 0.89315128 0.15054512 0.64021057 0.83170103 0.71268943 0.47472536
#>  [79] 0.93200988 0.87301042 0.55267742 0.78095030 0.27752716 0.81746197
#>  [85] 0.81020835 0.59769812 0.85270794 0.58870843 0.21313475 0.98199792
#>  [91] 0.65679343 0.95100027 0.64021057 0.44232850 0.83879580 0.00000000
#>  [97] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000
#> 
#> $Time
#>   183    88   117   180   155   125 180.1   158    58    96    24   108    60 
#>  9.24 18.37 17.46 14.82 13.08 15.65 14.82 20.14 19.34 14.54 23.89 18.29 13.15 
#>    92    77    97   171   106   101   190    91    13    78    69    36   100 
#> 22.92  7.27 19.14 16.57 16.67  9.97 20.81  5.33 14.34 23.88 23.23 21.19 16.07 
#>   166 100.1 117.1   127    39   139  92.1    57 183.1 190.1    10  97.1    25 
#> 19.98 16.07 17.46  3.53 15.59 21.49 22.92 14.46  9.24 20.81 10.53 19.14  6.32 
#>  77.1 127.1    79    66  79.1   169   159 139.1    42   107    86    14   133 
#>  7.27  3.53 16.23 22.13 16.23 22.41 10.55 21.49 12.43 11.18 23.81 12.89 14.65 
#>  36.1  97.2 183.2   129   149   181 133.1 117.2   175 107.1    43 106.1 129.1 
#> 21.19 19.14  9.24 23.41  8.37 16.46 14.65 17.46 21.91 11.18 12.10 16.67 23.41 
#> 183.3 169.1  36.2 133.2 139.2    76    16    52   164   192    49   167    55 
#>  9.24 22.41 21.19 14.65 21.49 19.22  8.71 10.42 23.60 16.44 12.19 15.55 19.34 
#>  16.1 159.1    40  60.1    63  42.1   140 106.2 107.2    23  69.1 127.2     5 
#>  8.71 10.55 18.00 13.15 22.77 12.43 12.68 16.67 11.18 16.92 23.23  3.53 16.43 
#>    70    85   150  43.1   121    74   193    28    54    82   161   109    71 
#>  7.38 16.44 20.33 12.10 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84  82.1    35   174     2   141   163    34   200    83    47   147    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    65  74.1  35.1   191 109.1    27    75    46   173    53    95  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   138  35.2  65.1  28.1   151    67  67.1    33  35.3 193.1   152  71.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87   118     1 191.1   165   178 163.1 193.2   148     3    98 174.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112 138.1   135   116     7    17    72     9 141.1   119  83.1  38.1  74.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   182 109.2 161.1  31.1  84.1 148.1  17.1  75.1 163.2  71.2 173.1 118.1    21 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[69]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003478708               0.588271748               0.124847511 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.1780673422            0.0004246388            0.3395059595 
#>   grade_iii, Cure model 
#>            0.6212348752 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 157   15.10      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 167   15.55      1  56        1         0
#> 56    12.21      1  60        0         0
#> 15    22.68      1  48        0         0
#> 91     5.33      1  61        0         1
#> 92    22.92      1  47        0         1
#> 187    9.92      1  39        1         0
#> 190   20.81      1  42        1         0
#> 106   16.67      1  49        1         0
#> 170   19.54      1  43        0         1
#> 51    18.23      1  83        0         1
#> 99    21.19      1  38        0         1
#> 55    19.34      1  69        0         1
#> 167.1 15.55      1  56        1         0
#> 60    13.15      1  38        1         0
#> 42    12.43      1  49        0         1
#> 190.1 20.81      1  42        1         0
#> 184   17.77      1  38        0         0
#> 168   23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 169   22.41      1  46        0         0
#> 114.1 13.68      1  NA        0         0
#> 97    19.14      1  65        0         1
#> 157.1 15.10      1  47        0         0
#> 179.1 18.63      1  42        0         0
#> 89    11.44      1  NA        0         0
#> 110   17.56      1  65        0         1
#> 180   14.82      1  37        0         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 99.1  21.19      1  38        0         1
#> 105   19.75      1  60        0         0
#> 40    18.00      1  28        1         0
#> 39    15.59      1  37        0         1
#> 130   16.47      1  53        0         1
#> 110.1 17.56      1  65        0         1
#> 59    10.16      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 97.1  19.14      1  65        0         1
#> 124    9.73      1  NA        1         0
#> 179.2 18.63      1  42        0         0
#> 49    12.19      1  48        1         0
#> 167.2 15.55      1  56        1         0
#> 6     15.64      1  39        0         0
#> 177   12.53      1  75        0         0
#> 195   11.76      1  NA        1         0
#> 78    23.88      1  43        0         0
#> 184.1 17.77      1  38        0         0
#> 183    9.24      1  67        1         0
#> 128   20.35      1  35        0         1
#> 145   10.07      1  65        1         0
#> 171   16.57      1  41        0         1
#> 114.2 13.68      1  NA        0         0
#> 61    10.12      1  36        0         1
#> 134   17.81      1  47        1         0
#> 32    20.90      1  37        1         0
#> 154   12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 179.3 18.63      1  42        0         0
#> 92.1  22.92      1  47        0         1
#> 153   21.33      1  55        1         0
#> 149    8.37      1  33        1         0
#> 187.1  9.92      1  39        1         0
#> 195.1 11.76      1  NA        1         0
#> 78.1  23.88      1  43        0         0
#> 177.1 12.53      1  75        0         0
#> 127    3.53      1  62        0         1
#> 149.1  8.37      1  33        1         0
#> 89.1  11.44      1  NA        0         0
#> 158   20.14      1  74        1         0
#> 114.3 13.68      1  NA        0         0
#> 51.1  18.23      1  83        0         1
#> 43    12.10      1  61        0         1
#> 194.1 22.40      1  38        0         1
#> 51.2  18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 6.1   15.64      1  39        0         0
#> 8     18.43      1  32        0         0
#> 184.2 17.77      1  38        0         0
#> 32.1  20.90      1  37        1         0
#> 194.2 22.40      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 29    15.45      1  68        1         0
#> 155   13.08      1  26        0         0
#> 170.1 19.54      1  43        0         1
#> 25     6.32      1  34        1         0
#> 128.1 20.35      1  35        0         1
#> 106.1 16.67      1  49        1         0
#> 153.1 21.33      1  55        1         0
#> 125.1 15.65      1  67        1         0
#> 90    20.94      1  50        0         1
#> 155.1 13.08      1  26        0         0
#> 61.1  10.12      1  36        0         1
#> 45    17.42      1  54        0         1
#> 155.2 13.08      1  26        0         0
#> 190.2 20.81      1  42        1         0
#> 70     7.38      1  30        1         0
#> 60.1  13.15      1  38        1         0
#> 125.2 15.65      1  67        1         0
#> 167.3 15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 55.1  19.34      1  69        0         1
#> 168.1 23.72      1  70        0         0
#> 184.3 17.77      1  38        0         0
#> 60.2  13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 6.2   15.64      1  39        0         0
#> 69    23.23      1  25        0         1
#> 62    24.00      0  71        0         0
#> 137   24.00      0  45        1         0
#> 54    24.00      0  53        1         0
#> 144   24.00      0  28        0         1
#> 173   24.00      0  19        0         1
#> 103   24.00      0  56        1         0
#> 115   24.00      0  NA        1         0
#> 54.1  24.00      0  53        1         0
#> 182   24.00      0  35        0         0
#> 67    24.00      0  25        0         0
#> 84    24.00      0  39        0         1
#> 116   24.00      0  58        0         1
#> 174   24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 147   24.00      0  76        1         0
#> 3     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 119   24.00      0  17        0         0
#> 176   24.00      0  43        0         1
#> 142   24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 156   24.00      0  50        1         0
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 95.1  24.00      0  68        0         1
#> 2     24.00      0   9        0         0
#> 33    24.00      0  53        0         0
#> 11    24.00      0  42        0         1
#> 2.1   24.00      0   9        0         0
#> 191   24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 2.2   24.00      0   9        0         0
#> 67.1  24.00      0  25        0         0
#> 72    24.00      0  40        0         1
#> 3.1   24.00      0  31        1         0
#> 131   24.00      0  66        0         0
#> 137.1 24.00      0  45        1         0
#> 73    24.00      0  NA        0         1
#> 148   24.00      0  61        1         0
#> 191.1 24.00      0  60        0         1
#> 27    24.00      0  63        1         0
#> 19    24.00      0  57        0         1
#> 109   24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 44    24.00      0  56        0         0
#> 162   24.00      0  51        0         0
#> 135   24.00      0  58        1         0
#> 121.1 24.00      0  57        1         0
#> 176.1 24.00      0  43        0         1
#> 182.1 24.00      0  35        0         0
#> 11.1  24.00      0  42        0         1
#> 147.1 24.00      0  76        1         0
#> 28.1  24.00      0  67        1         0
#> 84.1  24.00      0  39        0         1
#> 163   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 94    24.00      0  51        0         1
#> 31    24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 35.1  24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 74    24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 141   24.00      0  44        1         0
#> 137.2 24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 28.2  24.00      0  67        1         0
#> 160   24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 33.1  24.00      0  53        0         0
#> 174.1 24.00      0  49        1         0
#> 147.2 24.00      0  76        1         0
#> 132   24.00      0  55        0         0
#> 132.1 24.00      0  55        0         0
#> 182.2 24.00      0  35        0         0
#> 65    24.00      0  57        1         0
#> 12    24.00      0  63        0         0
#> 165.1 24.00      0  47        0         0
#> 135.1 24.00      0  58        1         0
#> 120   24.00      0  68        0         1
#> 21    24.00      0  47        0         0
#> 44.1  24.00      0  56        0         0
#> 172.1 24.00      0  41        0         0
#> 94.1  24.00      0  51        0         1
#> 160.1 24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.178           NA        NA      NA
#> 2 age, Cure model          0.000425        NA        NA      NA
#> 3 grade_ii, Cure model     0.340           NA        NA      NA
#> 4 grade_iii, Cure model    0.621           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00348        NA        NA      NA
#> 2 grade_ii, Survival model   0.588          NA        NA      NA
#> 3 grade_iii, Survival model  0.125          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.1780673         0.0004246         0.3395060         0.6212349  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.8 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.1780673422     0.0004246388     0.3395059595     0.6212348752 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003478708      0.588271748      0.124847511 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79700753 0.76082581 0.89496476 0.19253524 0.98735743 0.13973163
#>   [7] 0.93559715 0.35806925 0.64974425 0.43085077 0.53587290 0.29582607
#>  [13] 0.45069479 0.76082581 0.82580353 0.88808527 0.35806925 0.58997237
#>  [19] 0.07870686 0.95528587 0.48929544 0.56315124 0.20931665 0.47016158
#>  [25] 0.79700753 0.48929544 0.62408413 0.81139250 0.22586860 0.81860832
#>  [31] 0.29582607 0.42066197 0.57223542 0.75313445 0.67454942 0.62408413
#>  [37] 0.47016158 0.48929544 0.90183200 0.76082581 0.73022840 0.87434316
#>  [43] 0.03327028 0.58997237 0.94874628 0.38949292 0.92889895 0.66626758
#>  [49] 0.91542911 0.58117972 0.33452942 0.86741228 0.70721753 0.48929544
#>  [55] 0.13973163 0.26940805 0.96180535 0.93559715 0.03327028 0.87434316
#>  [61] 0.99368687 0.96180535 0.41041557 0.53587290 0.90864075 0.22586860
#>  [67] 0.53587290 0.69100753 0.73022840 0.52636931 0.58997237 0.33452942
#>  [73] 0.22586860 0.69912343 0.78975896 0.84663209 0.43085077 0.98101168
#>  [79] 0.38949292 0.64974425 0.26940805 0.70721753 0.32157215 0.84663209
#>  [85] 0.91542911 0.64118050 0.84663209 0.35806925 0.97462350 0.82580353
#>  [91] 0.70721753 0.76082581 0.17548490 0.45069479 0.07870686 0.58997237
#>  [97] 0.82580353 0.68279459 0.73022840 0.11863590 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   157   167    56    15    91    92   187   190   106   170    51    99    55 
#> 15.10 15.55 12.21 22.68  5.33 22.92  9.92 20.81 16.67 19.54 18.23 21.19 19.34 
#> 167.1    60    42 190.1   184   168    16   179    41   169    97 157.1 179.1 
#> 15.55 13.15 12.43 20.81 17.77 23.72  8.71 18.63 18.02 22.41 19.14 15.10 18.63 
#>   110   180   194    57  99.1   105    40    39   130 110.1  97.1 179.2    49 
#> 17.56 14.82 22.40 14.46 21.19 19.75 18.00 15.59 16.47 17.56 19.14 18.63 12.19 
#> 167.2     6   177    78 184.1   183   128   145   171    61   134    32   154 
#> 15.55 15.64 12.53 23.88 17.77  9.24 20.35 10.07 16.57 10.12 17.81 20.90 12.63 
#>   125 179.3  92.1   153   149 187.1  78.1 177.1   127 149.1   158  51.1    43 
#> 15.65 18.63 22.92 21.33  8.37  9.92 23.88 12.53  3.53  8.37 20.14 18.23 12.10 
#> 194.1  51.2   192   6.1     8 184.2  32.1 194.2   100    29   155 170.1    25 
#> 22.40 18.23 16.44 15.64 18.43 17.77 20.90 22.40 16.07 15.45 13.08 19.54  6.32 
#> 128.1 106.1 153.1 125.1    90 155.1  61.1    45 155.2 190.2    70  60.1 125.2 
#> 20.35 16.67 21.33 15.65 20.94 13.08 10.12 17.42 13.08 20.81  7.38 13.15 15.65 
#> 167.3    63  55.1 168.1 184.3  60.2   181   6.2    69    62   137    54   144 
#> 15.55 22.77 19.34 23.72 17.77 13.15 16.46 15.64 23.23 24.00 24.00 24.00 24.00 
#>   173   103  54.1   182    67    84   116   174   165   147     3   138   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176   142    82   156    95    53  95.1     2    33    11   2.1   191   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   2.2  67.1    72   3.1   131 137.1   148 191.1    27    19   109   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44   162   135 121.1 176.1 182.1  11.1 147.1  28.1  84.1   163   102    94 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    35  35.1 109.1    74    47   141 137.2    46  28.2   160   196  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 174.1 147.2   132 132.1 182.2    65    12 165.1 135.1   120    21  44.1 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.1 160.1    38   185 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[70]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01420598                0.35803183                0.11656756 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.83951664              0.01437989              0.43071932 
#>   grade_iii, Cure model 
#>              0.68045913 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 26    15.77      1  49        0         1
#> 39    15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 23    16.92      1  61        0         0
#> 5     16.43      1  51        0         1
#> 139   21.49      1  63        1         0
#> 100   16.07      1  60        0         0
#> 42    12.43      1  49        0         1
#> 5.1   16.43      1  51        0         1
#> 37    12.52      1  57        1         0
#> 37.1  12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 25     6.32      1  34        1         0
#> 93    10.33      1  52        0         1
#> 140   12.68      1  59        1         0
#> 88    18.37      1  47        0         0
#> 63    22.77      1  31        1         0
#> 68    20.62      1  44        0         0
#> 123   13.00      1  44        1         0
#> 4     17.64      1  NA        0         1
#> 88.1  18.37      1  47        0         0
#> 157   15.10      1  47        0         0
#> 58    19.34      1  39        0         0
#> 150   20.33      1  48        0         0
#> 66    22.13      1  53        0         0
#> 101    9.97      1  10        0         1
#> 16     8.71      1  71        0         1
#> 155   13.08      1  26        0         0
#> 25.1   6.32      1  34        1         0
#> 85    16.44      1  36        0         0
#> 164   23.60      1  76        0         1
#> 106   16.67      1  49        1         0
#> 106.1 16.67      1  49        1         0
#> 70.1   7.38      1  30        1         0
#> 127    3.53      1  62        0         1
#> 96    14.54      1  33        0         1
#> 158   20.14      1  74        1         0
#> 79    16.23      1  54        1         0
#> 155.1 13.08      1  26        0         0
#> 189   10.51      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 36    21.19      1  48        0         1
#> 29    15.45      1  68        1         0
#> 113   22.86      1  34        0         0
#> 149    8.37      1  33        1         0
#> 149.1  8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 180   14.82      1  37        0         0
#> 69    23.23      1  25        0         1
#> 105   19.75      1  60        0         0
#> 181   16.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 26.1  15.77      1  49        0         1
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 5.2   16.43      1  51        0         1
#> 195.1 11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 108   18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 42.1  12.43      1  49        0         1
#> 155.2 13.08      1  26        0         0
#> 106.2 16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 55    19.34      1  69        0         1
#> 81    14.06      1  34        0         0
#> 192   16.44      1  31        1         0
#> 96.1  14.54      1  33        0         1
#> 10    10.53      1  34        0         0
#> 123.1 13.00      1  44        1         0
#> 170   19.54      1  43        0         1
#> 153   21.33      1  55        1         0
#> 177   12.53      1  75        0         0
#> 183    9.24      1  67        1         0
#> 199   19.81      1  NA        0         1
#> 197.1 21.60      1  69        1         0
#> 170.1 19.54      1  43        0         1
#> 187    9.92      1  39        1         0
#> 189.1 10.51      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 37.2  12.52      1  57        1         0
#> 29.1  15.45      1  68        1         0
#> 197.2 21.60      1  69        1         0
#> 187.1  9.92      1  39        1         0
#> 100.1 16.07      1  60        0         0
#> 56.1  12.21      1  60        0         0
#> 66.1  22.13      1  53        0         0
#> 117.1 17.46      1  26        0         1
#> 81.1  14.06      1  34        0         0
#> 92    22.92      1  47        0         1
#> 181.1 16.46      1  45        0         1
#> 60    13.15      1  38        1         0
#> 194   22.40      1  38        0         1
#> 91     5.33      1  61        0         1
#> 45    17.42      1  54        0         1
#> 85.1  16.44      1  36        0         0
#> 128.1 20.35      1  35        0         1
#> 43    12.10      1  61        0         1
#> 29.2  15.45      1  68        1         0
#> 145   10.07      1  65        1         0
#> 123.2 13.00      1  44        1         0
#> 129   23.41      1  53        1         0
#> 153.1 21.33      1  55        1         0
#> 79.1  16.23      1  54        1         0
#> 70.2   7.38      1  30        1         0
#> 153.2 21.33      1  55        1         0
#> 77.1   7.27      1  67        0         1
#> 39.1  15.59      1  37        0         1
#> 166   19.98      1  48        0         0
#> 105.1 19.75      1  60        0         0
#> 68.1  20.62      1  44        0         0
#> 116   24.00      0  58        0         1
#> 67    24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 19    24.00      0  57        0         1
#> 141   24.00      0  44        1         0
#> 19.1  24.00      0  57        0         1
#> 142   24.00      0  53        0         0
#> 103   24.00      0  56        1         0
#> 35    24.00      0  51        0         0
#> 33    24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 21    24.00      0  47        0         0
#> 72    24.00      0  40        0         1
#> 44    24.00      0  56        0         0
#> 98    24.00      0  34        1         0
#> 200   24.00      0  64        0         0
#> 186   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 116.1 24.00      0  58        0         1
#> 186.1 24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 142.1 24.00      0  53        0         0
#> 3     24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 182   24.00      0  35        0         0
#> 132   24.00      0  55        0         0
#> 84    24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 74    24.00      0  43        0         1
#> 161.1 24.00      0  45        0         0
#> 176   24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 17.1  24.00      0  38        0         1
#> 142.2 24.00      0  53        0         0
#> 103.1 24.00      0  56        1         0
#> 75    24.00      0  21        1         0
#> 120   24.00      0  68        0         1
#> 182.1 24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 54    24.00      0  53        1         0
#> 64    24.00      0  43        0         0
#> 71    24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 67.1  24.00      0  25        0         0
#> 28    24.00      0  67        1         0
#> 71.1  24.00      0  51        0         0
#> 196   24.00      0  19        0         0
#> 75.1  24.00      0  21        1         0
#> 156   24.00      0  50        1         0
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 46    24.00      0  71        0         0
#> 9.1   24.00      0  31        1         0
#> 35.1  24.00      0  51        0         0
#> 9.2   24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 137   24.00      0  45        1         0
#> 82.1  24.00      0  34        0         0
#> 33.1  24.00      0  53        0         0
#> 1     24.00      0  23        1         0
#> 53.1  24.00      0  32        0         1
#> 3.1   24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 3.3   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 65    24.00      0  57        1         0
#> 135   24.00      0  58        1         0
#> 67.2  24.00      0  25        0         0
#> 176.1 24.00      0  43        0         1
#> 152   24.00      0  36        0         1
#> 138   24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 54.1  24.00      0  53        1         0
#> 120.1 24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 53.2  24.00      0  32        0         1
#> 98.1  24.00      0  34        1         0
#> 53.3  24.00      0  32        0         1
#> 116.2 24.00      0  58        0         1
#> 47.1  24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 65.1  24.00      0  57        1         0
#> 71.2  24.00      0  51        0         0
#> 142.3 24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.840         NA        NA      NA
#> 2 age, Cure model           0.0144        NA        NA      NA
#> 3 grade_ii, Cure model      0.431         NA        NA      NA
#> 4 grade_iii, Cure model     0.680         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0142        NA        NA      NA
#> 2 grade_ii, Survival model    0.358         NA        NA      NA
#> 3 grade_iii, Survival model   0.117         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.83952           0.01438           0.43072           0.68046  
#> 
#> Degrees of Freedom: 192 Total (i.e. Null);  189 Residual
#> Null Deviance:	    265.7 
#> Residual Deviance: 260.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.83951664       0.01437989       0.43071932       0.68045913 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01420598       0.35803183       0.11656756 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 7.399234e-01 3.415313e-01 3.623944e-01 8.679603e-01 1.945824e-01
#>   [6] 2.732917e-01 3.203174e-02 3.212143e-01 6.323495e-01 2.732917e-01
#>  [11] 5.944306e-01 5.944306e-01 6.583504e-01 9.403595e-01 7.260023e-01
#>  [16] 5.693694e-01 1.391927e-01 9.965831e-03 5.858832e-02 5.331477e-01
#>  [21] 1.391927e-01 4.163561e-01 1.247237e-01 7.984481e-02 1.534768e-02
#>  [26] 7.680509e-01 8.246824e-01 4.974945e-01 9.403595e-01 2.462521e-01
#>  [31] 4.331389e-04 2.030968e-01 2.030968e-01 8.679603e-01 9.848799e-01
#>  [36] 4.391656e-01 8.569296e-02 3.016088e-01 4.974945e-01 5.358573e-02
#>  [41] 4.878403e-02 3.836689e-01 7.430524e-03 8.391571e-01 8.391571e-01
#>  [46] 4.276987e-01 3.304417e-03 9.800692e-02 2.284642e-01 1.703726e-01
#>  [51] 3.415313e-01 6.895631e-02 9.109448e-01 2.732917e-01 2.901772e-05
#>  [56] 1.544342e-01 7.122038e-01 6.323495e-01 4.974945e-01 2.030968e-01
#>  [61] 2.151093e-02 1.247237e-01 4.621519e-01 2.462521e-01 4.391656e-01
#>  [66] 6.985280e-01 5.331477e-01 1.110516e-01 3.623023e-02 5.818116e-01
#>  [71] 8.103561e-01 2.151093e-02 1.110516e-01 7.821778e-01 1.623958e-01
#>  [76] 5.944306e-01 3.836689e-01 2.151093e-02 7.821778e-01 3.212143e-01
#>  [81] 6.583504e-01 1.534768e-02 1.703726e-01 4.621519e-01 5.191923e-03
#>  [86] 2.284642e-01 4.855848e-01 1.255666e-02 9.698828e-01 1.862786e-01
#>  [91] 2.462521e-01 6.895631e-02 6.849540e-01 3.836689e-01 7.539305e-01
#>  [96] 5.331477e-01 1.638379e-03 3.623023e-02 3.016088e-01 8.679603e-01
#> [101] 3.623023e-02 9.109448e-01 3.623944e-01 9.174780e-02 9.800692e-02
#> [106] 5.858832e-02 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00 0.000000e+00 0.000000e+00
#> 
#> $Time
#>    61    26    39    70    23     5   139   100    42   5.1    37  37.1    56 
#> 10.12 15.77 15.59  7.38 16.92 16.43 21.49 16.07 12.43 16.43 12.52 12.52 12.21 
#>    25    93   140    88    63    68   123  88.1   157    58   150    66   101 
#>  6.32 10.33 12.68 18.37 22.77 20.62 13.00 18.37 15.10 19.34 20.33 22.13  9.97 
#>    16   155  25.1    85   164   106 106.1  70.1   127    96   158    79 155.1 
#>  8.71 13.08  6.32 16.44 23.60 16.67 16.67  7.38  3.53 14.54 20.14 16.23 13.08 
#>    90    36    29   113   149 149.1   180    69   105   181   117  26.1   128 
#> 20.94 21.19 15.45 22.86  8.37  8.37 14.82 23.23 19.75 16.46 17.46 15.77 20.35 
#>    77   5.2   168   108    52  42.1 155.2 106.2   197    55    81   192  96.1 
#>  7.27 16.43 23.72 18.29 10.42 12.43 13.08 16.67 21.60 19.34 14.06 16.44 14.54 
#>    10 123.1   170   153   177   183 197.1 170.1   187    40  37.2  29.1 197.2 
#> 10.53 13.00 19.54 21.33 12.53  9.24 21.60 19.54  9.92 18.00 12.52 15.45 21.60 
#> 187.1 100.1  56.1  66.1 117.1  81.1    92 181.1    60   194    91    45  85.1 
#>  9.92 16.07 12.21 22.13 17.46 14.06 22.92 16.46 13.15 22.40  5.33 17.42 16.44 
#> 128.1    43  29.2   145 123.2   129 153.1  79.1  70.2 153.2  77.1  39.1   166 
#> 20.35 12.10 15.45 10.07 13.00 23.41 21.33 16.23  7.38 21.33  7.27 15.59 19.98 
#> 105.1  68.1   116    67   161    19   141  19.1   142   103    35    33   172 
#> 19.75 20.62 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    21    72    44    98   200   186   118   109 116.1 186.1    47 142.1     3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31    17   182   132    84   174    74 161.1   176    27  17.1 142.2 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   120 182.1    82    54    64    71   112  67.1    28  71.1   196  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156   178     9    53    46   9.1  35.1   9.2    95   137  82.1  33.1     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1   3.1   3.2   3.3    62    65   135  67.2 176.1   152   138  21.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   143  53.2  98.1  53.3 116.2  47.1   122  65.1  71.2 142.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[71]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0007757321              0.8634593724              0.7867148860 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.31319800              0.02262863              0.50427175 
#>   grade_iii, Cure model 
#>              0.84739905 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 164   23.60      1  76        0         1
#> 149    8.37      1  33        1         0
#> 37    12.52      1  57        1         0
#> 177   12.53      1  75        0         0
#> 106   16.67      1  49        1         0
#> 100   16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 29    15.45      1  68        1         0
#> 32    20.90      1  37        1         0
#> 101    9.97      1  10        0         1
#> 130   16.47      1  53        0         1
#> 76    19.22      1  54        0         1
#> 199   19.81      1  NA        0         1
#> 77     7.27      1  67        0         1
#> 49    12.19      1  48        1         0
#> 189   10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 30    17.43      1  78        0         0
#> 153   21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 37.1  12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 50    10.02      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 133   14.65      1  57        0         0
#> 51    18.23      1  83        0         1
#> 69    23.23      1  25        0         1
#> 93    10.33      1  52        0         1
#> 36    21.19      1  48        0         1
#> 188   16.16      1  46        0         1
#> 113   22.86      1  34        0         0
#> 134   17.81      1  47        1         0
#> 15.1  22.68      1  48        0         0
#> 77.1   7.27      1  67        0         1
#> 52    10.42      1  52        0         1
#> 192   16.44      1  31        1         0
#> 6     15.64      1  39        0         0
#> 37.2  12.52      1  57        1         0
#> 157   15.10      1  47        0         0
#> 40    18.00      1  28        1         0
#> 130.1 16.47      1  53        0         1
#> 184   17.77      1  38        0         0
#> 60.1  13.15      1  38        1         0
#> 189.1 10.51      1  NA        1         0
#> 63    22.77      1  31        1         0
#> 123   13.00      1  44        1         0
#> 195   11.76      1  NA        1         0
#> 29.1  15.45      1  68        1         0
#> 145   10.07      1  65        1         0
#> 77.2   7.27      1  67        0         1
#> 51.1  18.23      1  83        0         1
#> 158   20.14      1  74        1         0
#> 159   10.55      1  50        0         1
#> 105   19.75      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 89    11.44      1  NA        0         0
#> 124    9.73      1  NA        1         0
#> 110   17.56      1  65        0         1
#> 139   21.49      1  63        1         0
#> 177.1 12.53      1  75        0         0
#> 168   23.72      1  70        0         0
#> 59    10.16      1  NA        1         0
#> 51.2  18.23      1  83        0         1
#> 52.1  10.42      1  52        0         1
#> 159.1 10.55      1  50        0         1
#> 66    22.13      1  53        0         0
#> 45    17.42      1  54        0         1
#> 99    21.19      1  38        0         1
#> 23    16.92      1  61        0         0
#> 70     7.38      1  30        1         0
#> 133.1 14.65      1  57        0         0
#> 49.1  12.19      1  48        1         0
#> 168.1 23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 136   21.83      1  43        0         1
#> 114.1 13.68      1  NA        0         0
#> 4     17.64      1  NA        0         1
#> 24    23.89      1  38        0         0
#> 58    19.34      1  39        0         0
#> 66.1  22.13      1  53        0         0
#> 70.1   7.38      1  30        1         0
#> 168.2 23.72      1  70        0         0
#> 188.1 16.16      1  46        0         1
#> 113.1 22.86      1  34        0         0
#> 8     18.43      1  32        0         0
#> 169   22.41      1  46        0         0
#> 57    14.46      1  45        0         1
#> 58.1  19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 123.1 13.00      1  44        1         0
#> 123.2 13.00      1  44        1         0
#> 16     8.71      1  71        0         1
#> 175.1 21.91      1  43        0         0
#> 117   17.46      1  26        0         1
#> 37.3  12.52      1  57        1         0
#> 88    18.37      1  47        0         0
#> 78    23.88      1  43        0         0
#> 61    10.12      1  36        0         1
#> 36.1  21.19      1  48        0         1
#> 15.2  22.68      1  48        0         0
#> 170   19.54      1  43        0         1
#> 14    12.89      1  21        0         0
#> 4.1   17.64      1  NA        0         1
#> 158.1 20.14      1  74        1         0
#> 63.1  22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 52.2  10.42      1  52        0         1
#> 164.1 23.60      1  76        0         1
#> 128   20.35      1  35        0         1
#> 40.1  18.00      1  28        1         0
#> 91     5.33      1  61        0         1
#> 80    24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 11    24.00      0  42        0         1
#> 109   24.00      0  48        0         0
#> 109.1 24.00      0  48        0         0
#> 21    24.00      0  47        0         0
#> 73    24.00      0  NA        0         1
#> 109.2 24.00      0  48        0         0
#> 191   24.00      0  60        0         1
#> 141   24.00      0  44        1         0
#> 115   24.00      0  NA        1         0
#> 12    24.00      0  63        0         0
#> 95    24.00      0  68        0         1
#> 152   24.00      0  36        0         1
#> 33    24.00      0  53        0         0
#> 144   24.00      0  28        0         1
#> 172   24.00      0  41        0         0
#> 115.1 24.00      0  NA        1         0
#> 200   24.00      0  64        0         0
#> 102   24.00      0  49        0         0
#> 103   24.00      0  56        1         0
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 112   24.00      0  61        0         0
#> 102.1 24.00      0  49        0         0
#> 161   24.00      0  45        0         0
#> 118   24.00      0  44        1         0
#> 160   24.00      0  31        1         0
#> 115.2 24.00      0  NA        1         0
#> 191.1 24.00      0  60        0         1
#> 94    24.00      0  51        0         1
#> 126   24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 44    24.00      0  56        0         0
#> 34.1  24.00      0  36        0         0
#> 46    24.00      0  71        0         0
#> 9     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 160.1 24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 115.3 24.00      0  NA        1         0
#> 44.1  24.00      0  56        0         0
#> 95.1  24.00      0  68        0         1
#> 7     24.00      0  37        1         0
#> 46.1  24.00      0  71        0         0
#> 161.1 24.00      0  45        0         0
#> 132   24.00      0  55        0         0
#> 172.1 24.00      0  41        0         0
#> 98    24.00      0  34        1         0
#> 67    24.00      0  25        0         0
#> 178   24.00      0  52        1         0
#> 185   24.00      0  44        1         0
#> 132.1 24.00      0  55        0         0
#> 47    24.00      0  38        0         1
#> 35    24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 82    24.00      0  34        0         0
#> 174   24.00      0  49        1         0
#> 95.2  24.00      0  68        0         1
#> 132.2 24.00      0  55        0         0
#> 186   24.00      0  45        1         0
#> 137   24.00      0  45        1         0
#> 138.1 24.00      0  44        1         0
#> 46.2  24.00      0  71        0         0
#> 104   24.00      0  50        1         0
#> 144.1 24.00      0  28        0         1
#> 118.1 24.00      0  44        1         0
#> 148   24.00      0  61        1         0
#> 72    24.00      0  40        0         1
#> 7.1   24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 118.2 24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 80.1  24.00      0  41        0         0
#> 82.1  24.00      0  34        0         0
#> 109.3 24.00      0  48        0         0
#> 48.1  24.00      0  31        1         0
#> 102.2 24.00      0  49        0         0
#> 186.1 24.00      0  45        1         0
#> 173   24.00      0  19        0         1
#> 131   24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 122   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 144.2 24.00      0  28        0         1
#> 141.1 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.31          NA        NA      NA
#> 2 age, Cure model           0.0226        NA        NA      NA
#> 3 grade_ii, Cure model      0.504         NA        NA      NA
#> 4 grade_iii, Cure model     0.847         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000776        NA        NA      NA
#> 2 grade_ii, Survival model   0.863           NA        NA      NA
#> 3 grade_iii, Survival model  0.787           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.31320           0.02263           0.50427           0.84740  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.1 
#> Residual Deviance: 242.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.31319800       0.02262863       0.50427175       0.84739905 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0007757321     0.8634593724     0.7867148860 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.14953173 0.96042192 0.84230325 0.82872028 0.67524802 0.72917522
#>   [7] 0.35722167 0.74410387 0.45418490 0.94865606 0.68331496 0.54419486
#>  [13] 0.97765686 0.88118759 0.27783481 0.65056570 0.40975261 0.84230325
#>  [19] 0.87469228 0.78760944 0.76588299 0.57276737 0.20459402 0.92467103
#>  [25] 0.42187746 0.71433209 0.22050765 0.61676305 0.27783481 0.97765686
#>  [31] 0.90639597 0.69894721 0.73663842 0.84230325 0.75859831 0.59949339
#>  [37] 0.68331496 0.62530426 0.78760944 0.25130481 0.80163913 0.74410387
#>  [43] 0.93680111 0.97765686 0.57276737 0.48573629 0.89389064 0.50534380
#>  [49] 0.93680111 0.63384887 0.39715349 0.82872028 0.07982520 0.57276737
#>  [55] 0.90639597 0.89389064 0.33047945 0.65886766 0.42187746 0.66705552
#>  [61] 0.96623874 0.76588299 0.88118759 0.07982520 0.86819917 0.38403064
#>  [67] 0.01701279 0.52495326 0.33047945 0.96623874 0.07982520 0.71433209
#>  [73] 0.22050765 0.55371443 0.31687220 0.78039495 0.52495326 0.18711292
#>  [79] 0.80163913 0.80163913 0.95455854 0.35722167 0.64226995 0.84230325
#>  [85] 0.56323801 0.04764998 0.93075851 0.42187746 0.27783481 0.51525338
#>  [91] 0.82190708 0.48573629 0.25130481 0.47530450 0.70669299 0.90639597
#>  [97] 0.14953173 0.46488107 0.59949339 0.99441635 0.00000000 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   164   149    37   177   106   100   175    29    32   101   130    76    77 
#> 23.60  8.37 12.52 12.53 16.67 16.07 21.91 15.45 20.90  9.97 16.47 19.22  7.27 
#>    49    15    30   153  37.1    56    60   133    51    69    93    36   188 
#> 12.19 22.68 17.43 21.33 12.52 12.21 13.15 14.65 18.23 23.23 10.33 21.19 16.16 
#>   113   134  15.1  77.1    52   192     6  37.2   157    40 130.1   184  60.1 
#> 22.86 17.81 22.68  7.27 10.42 16.44 15.64 12.52 15.10 18.00 16.47 17.77 13.15 
#>    63   123  29.1   145  77.2  51.1   158   159   105 145.1   110   139 177.1 
#> 22.77 13.00 15.45 10.07  7.27 18.23 20.14 10.55 19.75 10.07 17.56 21.49 12.53 
#>   168  51.2  52.1 159.1    66    45    99    23    70 133.1  49.1 168.1    42 
#> 23.72 18.23 10.42 10.55 22.13 17.42 21.19 16.92  7.38 14.65 12.19 23.72 12.43 
#>   136    24    58  66.1  70.1 168.2 188.1 113.1     8   169    57  58.1   129 
#> 21.83 23.89 19.34 22.13  7.38 23.72 16.16 22.86 18.43 22.41 14.46 19.34 23.41 
#> 123.1 123.2    16 175.1   117  37.3    88    78    61  36.1  15.2   170    14 
#> 13.00 13.00  8.71 21.91 17.46 12.52 18.37 23.88 10.12 21.19 22.68 19.54 12.89 
#> 158.1  63.1   150    79  52.2 164.1   128  40.1    91    80   198    11   109 
#> 20.14 22.77 20.33 16.23 10.42 23.60 20.35 18.00  5.33 24.00 24.00 24.00 24.00 
#> 109.1    21 109.2   191   141    12    95   152    33   144   172   200   102 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103    34    87   112 102.1   161   118   160 191.1    94   126   165     1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    44  34.1    46     9    71 160.1   138  44.1  95.1     7  46.1 161.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.1    98    67   178   185 132.1    47    35  47.1    82   174  95.2 132.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186   137 138.1  46.2   104 144.1 118.1   148    72   7.1   193 118.2    48 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19  80.1  82.1 109.3  48.1 102.2 186.1   173   131    62   122     3 144.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 141.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[72]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01690924                0.46226273                0.08640281 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>           -0.9313951390            0.0009467373            1.0319353959 
#>   grade_iii, Cure model 
#>            1.8521750877 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 199   19.81      1  NA        0         1
#> 59    10.16      1  NA        1         0
#> 158   20.14      1  74        1         0
#> 68    20.62      1  44        0         0
#> 70     7.38      1  30        1         0
#> 117   17.46      1  26        0         1
#> 130   16.47      1  53        0         1
#> 159   10.55      1  50        0         1
#> 4     17.64      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 111   17.45      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 140   12.68      1  59        1         0
#> 140.1 12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 42    12.43      1  49        0         1
#> 180   14.82      1  37        0         0
#> 86    23.81      1  58        0         1
#> 57    14.46      1  45        0         1
#> 39    15.59      1  37        0         1
#> 43    12.10      1  61        0         1
#> 4.2   17.64      1  NA        0         1
#> 155   13.08      1  26        0         0
#> 153   21.33      1  55        1         0
#> 123   13.00      1  44        1         0
#> 140.2 12.68      1  59        1         0
#> 128   20.35      1  35        0         1
#> 86.1  23.81      1  58        0         1
#> 136   21.83      1  43        0         1
#> 91     5.33      1  61        0         1
#> 77     7.27      1  67        0         1
#> 36    21.19      1  48        0         1
#> 50    10.02      1  NA        1         0
#> 130.1 16.47      1  53        0         1
#> 52    10.42      1  52        0         1
#> 29    15.45      1  68        1         0
#> 16     8.71      1  71        0         1
#> 59.1  10.16      1  NA        1         0
#> 187    9.92      1  39        1         0
#> 32    20.90      1  37        1         0
#> 123.1 13.00      1  44        1         0
#> 190   20.81      1  42        1         0
#> 10    10.53      1  34        0         0
#> 167   15.55      1  56        1         0
#> 29.1  15.45      1  68        1         0
#> 168   23.72      1  70        0         0
#> 86.2  23.81      1  58        0         1
#> 52.1  10.42      1  52        0         1
#> 49    12.19      1  48        1         0
#> 86.3  23.81      1  58        0         1
#> 129   23.41      1  53        1         0
#> 177   12.53      1  75        0         0
#> 61    10.12      1  36        0         1
#> 91.1   5.33      1  61        0         1
#> 170   19.54      1  43        0         1
#> 153.1 21.33      1  55        1         0
#> 190.1 20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 69    23.23      1  25        0         1
#> 86.4  23.81      1  58        0         1
#> 167.1 15.55      1  56        1         0
#> 199.1 19.81      1  NA        0         1
#> 129.1 23.41      1  53        1         0
#> 181   16.46      1  45        0         1
#> 159.1 10.55      1  50        0         1
#> 86.5  23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 93    10.33      1  52        0         1
#> 145   10.07      1  65        1         0
#> 164   23.60      1  76        0         1
#> 41    18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 8     18.43      1  32        0         0
#> 140.3 12.68      1  59        1         0
#> 32.1  20.90      1  37        1         0
#> 97    19.14      1  65        0         1
#> 189   10.51      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 139   21.49      1  63        1         0
#> 36.1  21.19      1  48        0         1
#> 61.1  10.12      1  36        0         1
#> 111.1 17.45      1  47        0         1
#> 167.2 15.55      1  56        1         0
#> 97.1  19.14      1  65        0         1
#> 127    3.53      1  62        0         1
#> 125   15.65      1  67        1         0
#> 85    16.44      1  36        0         0
#> 111.2 17.45      1  47        0         1
#> 101    9.97      1  10        0         1
#> 25     6.32      1  34        1         0
#> 194   22.40      1  38        0         1
#> 166   19.98      1  48        0         0
#> 106   16.67      1  49        1         0
#> 105   19.75      1  60        0         0
#> 97.2  19.14      1  65        0         1
#> 183    9.24      1  67        1         0
#> 42.1  12.43      1  49        0         1
#> 154   12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 36.2  21.19      1  48        0         1
#> 50.1  10.02      1  NA        1         0
#> 18    15.21      1  49        1         0
#> 40    18.00      1  28        1         0
#> 90    20.94      1  50        0         1
#> 187.1  9.92      1  39        1         0
#> 101.1  9.97      1  10        0         1
#> 170.1 19.54      1  43        0         1
#> 181.2 16.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 40.1  18.00      1  28        1         0
#> 154.1 12.63      1  20        1         0
#> 164.1 23.60      1  76        0         1
#> 141   24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 12    24.00      0  63        0         0
#> 132   24.00      0  55        0         0
#> 174   24.00      0  49        1         0
#> 121   24.00      0  57        1         0
#> 87    24.00      0  27        0         0
#> 138   24.00      0  44        1         0
#> 87.1  24.00      0  27        0         0
#> 137   24.00      0  45        1         0
#> 120   24.00      0  68        0         1
#> 137.1 24.00      0  45        1         0
#> 62    24.00      0  71        0         0
#> 120.1 24.00      0  68        0         1
#> 9     24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 72    24.00      0  40        0         1
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 147   24.00      0  76        1         0
#> 138.1 24.00      0  44        1         0
#> 112.1 24.00      0  61        0         0
#> 3     24.00      0  31        1         0
#> 138.2 24.00      0  44        1         0
#> 7     24.00      0  37        1         0
#> 35    24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 141.1 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 115   24.00      0  NA        1         0
#> 75    24.00      0  21        1         0
#> 135   24.00      0  58        1         0
#> 163   24.00      0  66        0         0
#> 163.1 24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 137.2 24.00      0  45        1         0
#> 83    24.00      0   6        0         0
#> 120.2 24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 162   24.00      0  51        0         0
#> 116   24.00      0  58        0         1
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 82    24.00      0  34        0         0
#> 119   24.00      0  17        0         0
#> 34    24.00      0  36        0         0
#> 200.1 24.00      0  64        0         0
#> 161   24.00      0  45        0         0
#> 143   24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 191   24.00      0  60        0         1
#> 21    24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 156.1 24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 73.1  24.00      0  NA        0         1
#> 21.1  24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 163.2 24.00      0  66        0         0
#> 185   24.00      0  44        1         0
#> 19    24.00      0  57        0         1
#> 44    24.00      0  56        0         0
#> 120.3 24.00      0  68        0         1
#> 65    24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 44.1  24.00      0  56        0         0
#> 112.2 24.00      0  61        0         0
#> 22    24.00      0  52        1         0
#> 198   24.00      0  66        0         1
#> 47    24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 38    24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 152   24.00      0  36        0         1
#> 17    24.00      0  38        0         1
#> 103   24.00      0  56        1         0
#> 196.1 24.00      0  19        0         0
#> 28.1  24.00      0  67        1         0
#> 178.1 24.00      0  52        1         0
#> 174.1 24.00      0  49        1         0
#> 71.1  24.00      0  51        0         0
#> 162.1 24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 160.1 24.00      0  31        1         0
#> 173   24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.931           NA        NA      NA
#> 2 age, Cure model          0.000947        NA        NA      NA
#> 3 grade_ii, Cure model     1.03            NA        NA      NA
#> 4 grade_iii, Cure model    1.85            NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0169        NA        NA      NA
#> 2 grade_ii, Survival model    0.462         NA        NA      NA
#> 3 grade_iii, Survival model   0.0864        NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>       -0.9313951         0.0009467         1.0319354         1.8521751  
#> 
#> Degrees of Freedom: 185 Total (i.e. Null);  182 Residual
#> Null Deviance:	    256.5 
#> Residual Deviance: 234.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>    -0.9313951390     0.0009467373     1.0319353959     1.8521750877 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01690924       0.46226273       0.08640281 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.0997096885 0.0870662508 0.8996550634 0.1930209581 0.2380817622
#>   [6] 0.6510678482 0.4243817804 0.2017804950 0.5012760745 0.5012760745
#>  [11] 0.4369347624 0.5944980172 0.3998656460 0.0007645327 0.4120342562
#>  [16] 0.3198553693 0.6366499882 0.4496474548 0.0347903975 0.4624893195
#>  [21] 0.5012760745 0.0933029667 0.0007645327 0.0264155834 0.9492182622
#>  [26] 0.9160374246 0.0436688458 0.2380817622 0.6951643723 0.3644591489
#>  [31] 0.8669442553 0.8191294440 0.0642351234 0.4624893195 0.0754598452
#>  [36] 0.6802645693 0.3309694771 0.3644591489 0.0057284912 0.0007645327
#>  [41] 0.6951643723 0.6224290196 0.0007645327 0.0129897255 0.5807081329
#>  [46] 0.7407738529 0.9492182622 0.1203831730 0.0347903975 0.0754598452
#>  [51] 0.3088999503 0.0191045253 0.0007645327 0.3309694771 0.0129897255
#>  [56] 0.2574337161 0.6510678482 0.0007645327 0.4881619348 0.7253454083
#>  [61] 0.7718303763 0.0077665803 0.1674702448 0.0001141987 0.1589034626
#>  [66] 0.5012760745 0.0642351234 0.1350714132 0.8832858303 0.0304725827
#>  [71] 0.0436688458 0.7407738529 0.2017804950 0.3309694771 0.1350714132
#>  [76] 0.9828532502 0.2981290085 0.2875449320 0.2017804950 0.7876697180
#>  [81] 0.9326121187 0.0226339090 0.1063492901 0.2286362823 0.1132276647
#>  [86] 0.1350714132 0.8508070339 0.5944980172 0.5539077122 0.2574337161
#>  [91] 0.0436688458 0.3878668724 0.1761224102 0.0585139933 0.8191294440
#>  [96] 0.7876697180 0.1203831730 0.2574337161 0.1761224102 0.5539077122
#> [101] 0.0077665803 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [106] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [111] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [116] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [121] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [126] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [131] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [136] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [141] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [146] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [151] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [156] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [161] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [166] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [171] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [176] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [181] 0.0000000000 0.0000000000 0.0000000000 0.0000000000 0.0000000000
#> [186] 0.0000000000
#> 
#> $Time
#>   158    68    70   117   130   159    13   111   140 140.1    81    42   180 
#> 20.14 20.62  7.38 17.46 16.47 10.55 14.34 17.45 12.68 12.68 14.06 12.43 14.82 
#>    86    57    39    43   155   153   123 140.2   128  86.1   136    91    77 
#> 23.81 14.46 15.59 12.10 13.08 21.33 13.00 12.68 20.35 23.81 21.83  5.33  7.27 
#>    36 130.1    52    29    16   187    32 123.1   190    10   167  29.1   168 
#> 21.19 16.47 10.42 15.45  8.71  9.92 20.90 13.00 20.81 10.53 15.55 15.45 23.72 
#>  86.2  52.1    49  86.3   129   177    61  91.1   170 153.1 190.1     6    69 
#> 23.81 10.42 12.19 23.81 23.41 12.53 10.12  5.33 19.54 21.33 20.81 15.64 23.23 
#>  86.4 167.1 129.1   181 159.1  86.5    14    93   145   164    41    24     8 
#> 23.81 15.55 23.41 16.46 10.55 23.81 12.89 10.33 10.07 23.60 18.02 23.89 18.43 
#> 140.3  32.1    97   149   139  36.1  61.1 111.1 167.2  97.1   127   125    85 
#> 12.68 20.90 19.14  8.37 21.49 21.19 10.12 17.45 15.55 19.14  3.53 15.65 16.44 
#> 111.2   101    25   194   166   106   105  97.2   183  42.1   154 181.1  36.2 
#> 17.45  9.97  6.32 22.40 19.98 16.67 19.75 19.14  9.24 12.43 12.63 16.46 21.19 
#>    18    40    90 187.1 101.1 170.1 181.2  40.1 154.1 164.1   141   112    12 
#> 15.21 18.00 20.94  9.92  9.97 19.54 16.46 18.00 12.63 23.60 24.00 24.00 24.00 
#>   132   174   121    87   138  87.1   137   120 137.1    62 120.1     9   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72   193   165    74   147 138.1 112.1     3 138.2     7    35 141.1    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75   135   163 163.1  64.1 137.2    83 120.2    53   162   116   200   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   119    34 200.1   161   143   156   191    21    71 156.1    31  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  72.1 163.2   185    19    44 120.3    65   122  44.1 112.2    22   198    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    38    98   152    17   103 196.1  28.1 178.1 174.1  71.1 162.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1 160.1   173 193.1 
#> 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[73]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009534539               0.403209162               0.328945634 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.285799384             0.003635672             0.043003112 
#>   grade_iii, Cure model 
#>             0.897483421 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 96    14.54      1  33        0         1
#> 170   19.54      1  43        0         1
#> 189   10.51      1  NA        1         0
#> 90    20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 13    14.34      1  54        0         1
#> 180   14.82      1  37        0         0
#> 168   23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 181   16.46      1  45        0         1
#> 117   17.46      1  26        0         1
#> 29    15.45      1  68        1         0
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 57    14.46      1  45        0         1
#> 68    20.62      1  44        0         0
#> 88    18.37      1  47        0         0
#> 99    21.19      1  38        0         1
#> 117.1 17.46      1  26        0         1
#> 192   16.44      1  31        1         0
#> 153   21.33      1  55        1         0
#> 134   17.81      1  47        1         0
#> 61    10.12      1  36        0         1
#> 157   15.10      1  47        0         0
#> 139   21.49      1  63        1         0
#> 97    19.14      1  65        0         1
#> 91     5.33      1  61        0         1
#> 23    16.92      1  61        0         0
#> 133   14.65      1  57        0         0
#> 40    18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 45    17.42      1  54        0         1
#> 170.1 19.54      1  43        0         1
#> 60    13.15      1  38        1         0
#> 86    23.81      1  58        0         1
#> 194   22.40      1  38        0         1
#> 157.1 15.10      1  47        0         0
#> 170.2 19.54      1  43        0         1
#> 79    16.23      1  54        1         0
#> 179   18.63      1  42        0         0
#> 123   13.00      1  44        1         0
#> 157.2 15.10      1  47        0         0
#> 6     15.64      1  39        0         0
#> 39    15.59      1  37        0         1
#> 70     7.38      1  30        1         0
#> 58    19.34      1  39        0         0
#> 129   23.41      1  53        1         0
#> 149    8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 155   13.08      1  26        0         0
#> 70.1   7.38      1  30        1         0
#> 36.1  21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 169   22.41      1  46        0         0
#> 183.1  9.24      1  67        1         0
#> 61.1  10.12      1  36        0         1
#> 129.1 23.41      1  53        1         0
#> 114   13.68      1  NA        0         0
#> 78.1  23.88      1  43        0         0
#> 91.1   5.33      1  61        0         1
#> 181.1 16.46      1  45        0         1
#> 179.1 18.63      1  42        0         0
#> 77     7.27      1  67        0         1
#> 188   16.16      1  46        0         1
#> 86.1  23.81      1  58        0         1
#> 69    23.23      1  25        0         1
#> 149.1  8.37      1  33        1         0
#> 169.1 22.41      1  46        0         0
#> 114.1 13.68      1  NA        0         0
#> 145   10.07      1  65        1         0
#> 192.1 16.44      1  31        1         0
#> 129.2 23.41      1  53        1         0
#> 169.2 22.41      1  46        0         0
#> 55    19.34      1  69        0         1
#> 93    10.33      1  52        0         1
#> 89    11.44      1  NA        0         0
#> 61.2  10.12      1  36        0         1
#> 181.2 16.46      1  45        0         1
#> 36.2  21.19      1  48        0         1
#> 183.2  9.24      1  67        1         0
#> 59.1  10.16      1  NA        1         0
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 90.1  20.94      1  50        0         1
#> 58.1  19.34      1  39        0         0
#> 181.3 16.46      1  45        0         1
#> 195   11.76      1  NA        1         0
#> 23.1  16.92      1  61        0         0
#> 37    12.52      1  57        1         0
#> 57.1  14.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 171   16.57      1  41        0         1
#> 129.3 23.41      1  53        1         0
#> 52    10.42      1  52        0         1
#> 43    12.10      1  61        0         1
#> 16     8.71      1  71        0         1
#> 166   19.98      1  48        0         0
#> 93.1  10.33      1  52        0         1
#> 14.1  12.89      1  21        0         0
#> 110   17.56      1  65        0         1
#> 23.2  16.92      1  61        0         0
#> 155.1 13.08      1  26        0         0
#> 145.1 10.07      1  65        1         0
#> 30    17.43      1  78        0         0
#> 16.1   8.71      1  71        0         1
#> 6.1   15.64      1  39        0         0
#> 145.2 10.07      1  65        1         0
#> 39.1  15.59      1  37        0         1
#> 153.1 21.33      1  55        1         0
#> 40.1  18.00      1  28        1         0
#> 171.1 16.57      1  41        0         1
#> 172   24.00      0  41        0         0
#> 103   24.00      0  56        1         0
#> 9     24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 172.1 24.00      0  41        0         0
#> 182   24.00      0  35        0         0
#> 196   24.00      0  19        0         0
#> 80    24.00      0  41        0         0
#> 112   24.00      0  61        0         0
#> 47    24.00      0  38        0         1
#> 64    24.00      0  43        0         0
#> 118   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 162   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 148   24.00      0  61        1         0
#> 198   24.00      0  66        0         1
#> 75    24.00      0  21        1         0
#> 182.1 24.00      0  35        0         0
#> 94    24.00      0  51        0         1
#> 47.1  24.00      0  38        0         1
#> 28    24.00      0  67        1         0
#> 191.1 24.00      0  60        0         1
#> 94.1  24.00      0  51        0         1
#> 17    24.00      0  38        0         1
#> 176   24.00      0  43        0         1
#> 47.2  24.00      0  38        0         1
#> 193.1 24.00      0  45        0         1
#> 163   24.00      0  66        0         0
#> 20    24.00      0  46        1         0
#> 27    24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 9.1   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 162.2 24.00      0  51        0         0
#> 28.1  24.00      0  67        1         0
#> 27.1  24.00      0  63        1         0
#> 84    24.00      0  39        0         1
#> 115   24.00      0  NA        1         0
#> 115.1 24.00      0  NA        1         0
#> 185   24.00      0  44        1         0
#> 191.2 24.00      0  60        0         1
#> 121   24.00      0  57        1         0
#> 102   24.00      0  49        0         0
#> 7     24.00      0  37        1         0
#> 95    24.00      0  68        0         1
#> 53    24.00      0  32        0         1
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 65    24.00      0  57        1         0
#> 200   24.00      0  64        0         0
#> 72    24.00      0  40        0         1
#> 46    24.00      0  71        0         0
#> 109.1 24.00      0  48        0         0
#> 31    24.00      0  36        0         1
#> 2     24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 75.1  24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 22.1  24.00      0  52        1         0
#> 9.2   24.00      0  31        1         0
#> 112.1 24.00      0  61        0         0
#> 12    24.00      0  63        0         0
#> 83    24.00      0   6        0         0
#> 80.1  24.00      0  41        0         0
#> 196.1 24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 20.1  24.00      0  46        1         0
#> 151   24.00      0  42        0         0
#> 34    24.00      0  36        0         0
#> 87    24.00      0  27        0         0
#> 7.1   24.00      0  37        1         0
#> 135   24.00      0  58        1         0
#> 95.1  24.00      0  68        0         1
#> 22.2  24.00      0  52        1         0
#> 131   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 20.2  24.00      0  46        1         0
#> 87.1  24.00      0  27        0         0
#> 67    24.00      0  25        0         0
#> 178   24.00      0  52        1         0
#> 196.2 24.00      0  19        0         0
#> 7.2   24.00      0  37        1         0
#> 115.2 24.00      0  NA        1         0
#> 53.1  24.00      0  32        0         1
#> 33    24.00      0  53        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.286          NA        NA      NA
#> 2 age, Cure model          0.00364        NA        NA      NA
#> 3 grade_ii, Cure model     0.0430         NA        NA      NA
#> 4 grade_iii, Cure model    0.897          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00953        NA        NA      NA
#> 2 grade_ii, Survival model   0.403          NA        NA      NA
#> 3 grade_iii, Survival model  0.329          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.285799          0.003636          0.043003          0.897483  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.1 
#> Residual Deviance: 252 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.285799384      0.003635672      0.043003112      0.897483421 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009534539      0.403209162      0.328945634 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.590982351 0.190354938 0.147715907 0.966034883 0.623110468 0.569560983
#>   [7] 0.023651533 0.731925336 0.406850626 0.318653233 0.527920384 0.172719592
#>  [13] 0.117136153 0.601731670 0.164140088 0.270889393 0.117136153 0.318653233
#>  [19] 0.446387700 0.101160539 0.299406472 0.776242043 0.538319815 0.092986103
#>  [25] 0.242780683 0.977361513 0.357132936 0.580230219 0.280568347 0.853682616
#>  [31] 0.347336948 0.190354938 0.633924916 0.011939686 0.084938803 0.538319815
#>  [37] 0.190354938 0.466511044 0.252115234 0.666321678 0.538319815 0.486925907
#>  [43] 0.507413341 0.932227521 0.216088898 0.031633587 0.909690218 0.677208452
#>  [49] 0.644731673 0.932227521 0.117136153 0.002646062 0.063074618 0.853682616
#>  [55] 0.776242043 0.031633587 0.002646062 0.977361513 0.406850626 0.252115234
#>  [61] 0.954697323 0.476707123 0.011939686 0.055787481 0.909690218 0.063074618
#>  [67] 0.809232859 0.446387700 0.031633587 0.063074618 0.216088898 0.754102952
#>  [73] 0.776242043 0.406850626 0.117136153 0.853682616 0.842487784 0.709903141
#>  [79] 0.147715907 0.216088898 0.406850626 0.357132936 0.698932756 0.601731670
#>  [85] 0.386769154 0.031633587 0.743001427 0.720895462 0.887101118 0.181458568
#>  [91] 0.754102952 0.677208452 0.308992030 0.357132936 0.644731673 0.809232859
#>  [97] 0.337587625 0.887101118 0.486925907 0.809232859 0.507413341 0.101160539
#> [103] 0.280568347 0.386769154 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    96   170    90    25    13   180   168    10   181   117    29   150    36 
#> 14.54 19.54 20.94  6.32 14.34 14.82 23.72 10.53 16.46 17.46 15.45 20.33 21.19 
#>    57    68    88    99 117.1   192   153   134    61   157   139    97    91 
#> 14.46 20.62 18.37 21.19 17.46 16.44 21.33 17.81 10.12 15.10 21.49 19.14  5.33 
#>    23   133    40   183    45 170.1    60    86   194 157.1 170.2    79   179 
#> 16.92 14.65 18.00  9.24 17.42 19.54 13.15 23.81 22.40 15.10 19.54 16.23 18.63 
#>   123 157.2     6    39    70    58   129   149    14   155  70.1  36.1    78 
#> 13.00 15.10 15.64 15.59  7.38 19.34 23.41  8.37 12.89 13.08  7.38 21.19 23.88 
#>   169 183.1  61.1 129.1  78.1  91.1 181.1 179.1    77   188  86.1    69 149.1 
#> 22.41  9.24 10.12 23.41 23.88  5.33 16.46 18.63  7.27 16.16 23.81 23.23  8.37 
#> 169.1   145 192.1 129.2 169.2    55    93  61.2 181.2  36.2 183.2   101    42 
#> 22.41 10.07 16.44 23.41 22.41 19.34 10.33 10.12 16.46 21.19  9.24  9.97 12.43 
#>  90.1  58.1 181.3  23.1    37  57.1   171 129.3    52    43    16   166  93.1 
#> 20.94 19.34 16.46 16.92 12.52 14.46 16.57 23.41 10.42 12.10  8.71 19.98 10.33 
#>  14.1   110  23.2 155.1 145.1    30  16.1   6.1 145.2  39.1 153.1  40.1 171.1 
#> 12.89 17.56 16.92 13.08 10.07 17.43  8.71 15.64 10.07 15.59 21.33 18.00 16.57 
#>   172   103     9 103.1   193   191 172.1   182   196    80   112    47    64 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   118   161   162   137   148   198    75 182.1    94  47.1    28 191.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   176  47.2 193.1   163    20    27 162.1   9.1    22 162.2  28.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   185 191.2   121   102     7    95    53    38   109    65   200    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    46 109.1    31     2   120  75.1    62  22.1   9.2 112.1    12    83  80.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 196.1    44  20.1   151    34    87   7.1   135  95.1  22.2   131   141  20.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1    67   178 196.2   7.2  53.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[74]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00512487                0.60039759                0.41916624 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.73768110              0.01691135              0.16650733 
#>   grade_iii, Cure model 
#>              0.26437966 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 139   21.49      1  63        1         0
#> 56    12.21      1  60        0         0
#> 169   22.41      1  46        0         0
#> 63    22.77      1  31        1         0
#> 49    12.19      1  48        1         0
#> 111   17.45      1  47        0         1
#> 16     8.71      1  71        0         1
#> 13    14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 39    15.59      1  37        0         1
#> 177   12.53      1  75        0         0
#> 39.1  15.59      1  37        0         1
#> 24    23.89      1  38        0         0
#> 41    18.02      1  40        1         0
#> 66    22.13      1  53        0         0
#> 100   16.07      1  60        0         0
#> 175   21.91      1  43        0         0
#> 111.1 17.45      1  47        0         1
#> 107   11.18      1  54        1         0
#> 101    9.97      1  10        0         1
#> 180   14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 113   22.86      1  34        0         0
#> 90    20.94      1  50        0         1
#> 29    15.45      1  68        1         0
#> 30    17.43      1  78        0         0
#> 129   23.41      1  53        1         0
#> 32.1  20.90      1  37        1         0
#> 76    19.22      1  54        0         1
#> 85    16.44      1  36        0         0
#> 164   23.60      1  76        0         1
#> 30.1  17.43      1  78        0         0
#> 114   13.68      1  NA        0         0
#> 51    18.23      1  83        0         1
#> 8     18.43      1  32        0         0
#> 5     16.43      1  51        0         1
#> 150   20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 113.1 22.86      1  34        0         0
#> 157   15.10      1  47        0         0
#> 23    16.92      1  61        0         0
#> 125   15.65      1  67        1         0
#> 68    20.62      1  44        0         0
#> 154   12.63      1  20        1         0
#> 110   17.56      1  65        0         1
#> 136   21.83      1  43        0         1
#> 88    18.37      1  47        0         0
#> 153   21.33      1  55        1         0
#> 39.2  15.59      1  37        0         1
#> 29.1  15.45      1  68        1         0
#> 175.1 21.91      1  43        0         0
#> 63.1  22.77      1  31        1         0
#> 125.1 15.65      1  67        1         0
#> 25     6.32      1  34        1         0
#> 61    10.12      1  36        0         1
#> 99    21.19      1  38        0         1
#> 167   15.55      1  56        1         0
#> 111.2 17.45      1  47        0         1
#> 154.1 12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 61.1  10.12      1  36        0         1
#> 91     5.33      1  61        0         1
#> 23.1  16.92      1  61        0         0
#> 134   17.81      1  47        1         0
#> 4     17.64      1  NA        0         1
#> 154.2 12.63      1  20        1         0
#> 153.1 21.33      1  55        1         0
#> 134.1 17.81      1  47        1         0
#> 192   16.44      1  31        1         0
#> 130   16.47      1  53        0         1
#> 164.1 23.60      1  76        0         1
#> 123   13.00      1  44        1         0
#> 124    9.73      1  NA        1         0
#> 107.1 11.18      1  54        1         0
#> 101.1  9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 180.1 14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 78    23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 52.1  10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 133   14.65      1  57        0         0
#> 97    19.14      1  65        0         1
#> 158   20.14      1  74        1         0
#> 93    10.33      1  52        0         1
#> 194   22.40      1  38        0         1
#> 86    23.81      1  58        0         1
#> 30.2  17.43      1  78        0         0
#> 86.1  23.81      1  58        0         1
#> 124.1  9.73      1  NA        1         0
#> 42    12.43      1  49        0         1
#> 134.2 17.81      1  47        1         0
#> 68.1  20.62      1  44        0         0
#> 188   16.16      1  46        0         1
#> 56.1  12.21      1  60        0         0
#> 41.1  18.02      1  40        1         0
#> 175.2 21.91      1  43        0         0
#> 113.2 22.86      1  34        0         0
#> 29.2  15.45      1  68        1         0
#> 6     15.64      1  39        0         0
#> 45    17.42      1  54        0         1
#> 197   21.60      1  69        1         0
#> 150.1 20.33      1  48        0         0
#> 49.1  12.19      1  48        1         0
#> 30.3  17.43      1  78        0         0
#> 192.1 16.44      1  31        1         0
#> 140   12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 25.1   6.32      1  34        1         0
#> 117   17.46      1  26        0         1
#> 49.2  12.19      1  48        1         0
#> 28    24.00      0  67        1         0
#> 119   24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 122   24.00      0  66        0         0
#> 120   24.00      0  68        0         1
#> 74    24.00      0  43        0         1
#> 116   24.00      0  58        0         1
#> 75    24.00      0  21        1         0
#> 120.1 24.00      0  68        0         1
#> 143   24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 137.1 24.00      0  45        1         0
#> 131.1 24.00      0  66        0         0
#> 22    24.00      0  52        1         0
#> 176   24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 119.1 24.00      0  17        0         0
#> 126   24.00      0  48        0         0
#> 98    24.00      0  34        1         0
#> 173   24.00      0  19        0         1
#> 152   24.00      0  36        0         1
#> 9     24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 186   24.00      0  45        1         0
#> 21    24.00      0  47        0         0
#> 98.1  24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 98.2  24.00      0  34        1         0
#> 147   24.00      0  76        1         0
#> 135   24.00      0  58        1         0
#> 156   24.00      0  50        1         0
#> 118.1 24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 33    24.00      0  53        0         0
#> 163   24.00      0  66        0         0
#> 173.1 24.00      0  19        0         1
#> 193.1 24.00      0  45        0         1
#> 104   24.00      0  50        1         0
#> 121   24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 138   24.00      0  44        1         0
#> 142   24.00      0  53        0         0
#> 46    24.00      0  71        0         0
#> 67.1  24.00      0  25        0         0
#> 161   24.00      0  45        0         0
#> 64    24.00      0  43        0         0
#> 186.1 24.00      0  45        1         0
#> 142.1 24.00      0  53        0         0
#> 185   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 1.1   24.00      0  23        1         0
#> 161.1 24.00      0  45        0         0
#> 80    24.00      0  41        0         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 196   24.00      0  19        0         0
#> 141   24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 47    24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 19    24.00      0  57        0         1
#> 116.1 24.00      0  58        0         1
#> 131.2 24.00      0  66        0         0
#> 84.1  24.00      0  39        0         1
#> 53    24.00      0  32        0         1
#> 98.3  24.00      0  34        1         0
#> 120.2 24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 53.1  24.00      0  32        0         1
#> 186.2 24.00      0  45        1         0
#> 112   24.00      0  61        0         0
#> 178   24.00      0  52        1         0
#> 84.2  24.00      0  39        0         1
#> 47.1  24.00      0  38        0         1
#> 137.2 24.00      0  45        1         0
#> 17.1  24.00      0  38        0         1
#> 9.1   24.00      0  31        1         0
#> 152.1 24.00      0  36        0         1
#> 165   24.00      0  47        0         0
#> 131.3 24.00      0  66        0         0
#> 109   24.00      0  48        0         0
#> 94    24.00      0  51        0         1
#> 116.2 24.00      0  58        0         1
#> 64.1  24.00      0  43        0         0
#> 143.1 24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.738         NA        NA      NA
#> 2 age, Cure model           0.0169        NA        NA      NA
#> 3 grade_ii, Cure model      0.167         NA        NA      NA
#> 4 grade_iii, Cure model     0.264         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00512        NA        NA      NA
#> 2 grade_ii, Survival model   0.600          NA        NA      NA
#> 3 grade_iii, Survival model  0.419          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.73768           0.01691           0.16651           0.26438  
#> 
#> Degrees of Freedom: 195 Total (i.e. Null);  192 Residual
#> Null Deviance:	    269.7 
#> Residual Deviance: 266.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.73768110       0.01691135       0.16650733       0.26437966 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00512487       0.60039759       0.41916624 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.230657909 0.844193960 0.147206304 0.127161177 0.861034640 0.486764233
#>   [7] 0.959694526 0.767865442 0.967843803 0.672969984 0.818877490 0.672969984
#>  [13] 0.004817737 0.414247762 0.168123644 0.637649412 0.178649866 0.486764233
#>  [19] 0.885863506 0.943457368 0.741887820 0.280604488 0.095695809 0.270715322
#>  [25] 0.707656250 0.512900497 0.084494202 0.280604488 0.366293738 0.593485530
#>  [31] 0.062529113 0.512900497 0.404615813 0.385404781 0.619871911 0.327959434
#>  [37] 0.318386109 0.095695809 0.733237734 0.557266849 0.646558344 0.299374823
#>  [43] 0.793826544 0.468771283 0.209428188 0.394985292 0.241049371 0.672969984
#>  [49] 0.707656250 0.178649866 0.127161177 0.646558344 0.975954626 0.927094985
#>  [55] 0.260761867 0.698932807 0.486764233 0.793826544 0.050271690 0.927094985
#>  [61] 0.991968037 0.557266849 0.442170518 0.793826544 0.241049371 0.442170518
#>  [67] 0.593485530 0.575341552 0.062529113 0.776559493 0.885863506 0.943457368
#>  [73] 0.432872750 0.741887820 0.902375925 0.016237208 0.356688929 0.902375925
#>  [79] 0.584428150 0.759156298 0.375860167 0.347066584 0.918838665 0.157752037
#>  [85] 0.030041776 0.512900497 0.030041776 0.835775884 0.442170518 0.299374823
#>  [91] 0.628773309 0.844193960 0.414247762 0.178649866 0.095695809 0.707656250
#>  [97] 0.664112683 0.548234329 0.220114621 0.327959434 0.861034640 0.512900497
#> [103] 0.593485530 0.785209497 0.827342265 0.975954626 0.477795788 0.861034640
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   139    56   169    63    49   111    16    13    70    39   177  39.1    24 
#> 21.49 12.21 22.41 22.77 12.19 17.45  8.71 14.34  7.38 15.59 12.53 15.59 23.89 
#>    41    66   100   175 111.1   107   101   180    32   113    90    29    30 
#> 18.02 22.13 16.07 21.91 17.45 11.18  9.97 14.82 20.90 22.86 20.94 15.45 17.43 
#>   129  32.1    76    85   164  30.1    51     8     5   150   128 113.1   157 
#> 23.41 20.90 19.22 16.44 23.60 17.43 18.23 18.43 16.43 20.33 20.35 22.86 15.10 
#>    23   125    68   154   110   136    88   153  39.2  29.1 175.1  63.1 125.1 
#> 16.92 15.65 20.62 12.63 17.56 21.83 18.37 21.33 15.59 15.45 21.91 22.77 15.65 
#>    25    61    99   167 111.2 154.1   168  61.1    91  23.1   134 154.2 153.1 
#>  6.32 10.12 21.19 15.55 17.45 12.63 23.72 10.12  5.33 16.92 17.81 12.63 21.33 
#> 134.1   192   130 164.1   123 107.1 101.1    40 180.1    52    78    55  52.1 
#> 17.81 16.44 16.47 23.60 13.00 11.18  9.97 18.00 14.82 10.42 23.88 19.34 10.42 
#>   181   133    97   158    93   194    86  30.2  86.1    42 134.2  68.1   188 
#> 16.46 14.65 19.14 20.14 10.33 22.40 23.81 17.43 23.81 12.43 17.81 20.62 16.16 
#>  56.1  41.1 175.2 113.2  29.2     6    45   197 150.1  49.1  30.3 192.1   140 
#> 12.21 18.02 21.91 22.86 15.45 15.64 17.42 21.60 20.33 12.19 17.43 16.44 12.68 
#>    37  25.1   117  49.2    28   119   137   118   122   120    74   116    75 
#> 12.52  6.32 17.46 12.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1   143   131     1 137.1 131.1    22   176    27 119.1   126    98   173 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152     9   193   186    21  98.1    65    67  98.2   147   135   156 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   151    33   163 173.1 193.1   104   121   103   138   142    46  67.1   161 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64 186.1 142.1   185   182   1.1 161.1    80    84    31   196   141  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  74.1    19 116.1 131.2  84.1    53  98.3 120.2    17  53.1 186.2   112 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   178  84.2  47.1 137.2  17.1   9.1 152.1   165 131.3   109    94 116.2  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[75]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001948801               0.390769847               0.012946451 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76544737              0.01482005             -0.12118452 
#>   grade_iii, Cure model 
#>              1.39356443 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 134   17.81      1  47        1         0
#> 14    12.89      1  21        0         0
#> 60    13.15      1  38        1         0
#> 13    14.34      1  54        0         1
#> 194   22.40      1  38        0         1
#> 56    12.21      1  60        0         0
#> 167   15.55      1  56        1         0
#> 167.1 15.55      1  56        1         0
#> 157   15.10      1  47        0         0
#> 153   21.33      1  55        1         0
#> 70     7.38      1  30        1         0
#> 13.1  14.34      1  54        0         1
#> 129   23.41      1  53        1         0
#> 86    23.81      1  58        0         1
#> 69    23.23      1  25        0         1
#> 192   16.44      1  31        1         0
#> 153.1 21.33      1  55        1         0
#> 155   13.08      1  26        0         0
#> 30    17.43      1  78        0         0
#> 86.1  23.81      1  58        0         1
#> 97    19.14      1  65        0         1
#> 76    19.22      1  54        0         1
#> 36    21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 55    19.34      1  69        0         1
#> 41    18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 127    3.53      1  62        0         1
#> 154   12.63      1  20        1         0
#> 13.2  14.34      1  54        0         1
#> 79    16.23      1  54        1         0
#> 177   12.53      1  75        0         0
#> 86.2  23.81      1  58        0         1
#> 70.1   7.38      1  30        1         0
#> 26    15.77      1  49        0         1
#> 4     17.64      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 100   16.07      1  60        0         0
#> 76.1  19.22      1  54        0         1
#> 139   21.49      1  63        1         0
#> 32    20.90      1  37        1         0
#> 14.1  12.89      1  21        0         0
#> 166   19.98      1  48        0         0
#> 179   18.63      1  42        0         0
#> 78    23.88      1  43        0         0
#> 42    12.43      1  49        0         1
#> 100.1 16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 56.1  12.21      1  60        0         0
#> 195   11.76      1  NA        1         0
#> 175   21.91      1  43        0         0
#> 77     7.27      1  67        0         1
#> 77.1   7.27      1  67        0         1
#> 100.2 16.07      1  60        0         0
#> 177.1 12.53      1  75        0         0
#> 85    16.44      1  36        0         0
#> 106   16.67      1  49        1         0
#> 78.1  23.88      1  43        0         0
#> 66    22.13      1  53        0         0
#> 134.1 17.81      1  47        1         0
#> 51    18.23      1  83        0         1
#> 133   14.65      1  57        0         0
#> 167.2 15.55      1  56        1         0
#> 159   10.55      1  50        0         1
#> 55.1  19.34      1  69        0         1
#> 183    9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 106.1 16.67      1  49        1         0
#> 25     6.32      1  34        1         0
#> 167.3 15.55      1  56        1         0
#> 68    20.62      1  44        0         0
#> 55.2  19.34      1  69        0         1
#> 8     18.43      1  32        0         0
#> 13.3  14.34      1  54        0         1
#> 159.1 10.55      1  50        0         1
#> 14.2  12.89      1  21        0         0
#> 76.2  19.22      1  54        0         1
#> 92    22.92      1  47        0         1
#> 133.1 14.65      1  57        0         0
#> 101    9.97      1  10        0         1
#> 153.2 21.33      1  55        1         0
#> 188   16.16      1  46        0         1
#> 86.3  23.81      1  58        0         1
#> 113   22.86      1  34        0         0
#> 6     15.64      1  39        0         0
#> 60.1  13.15      1  38        1         0
#> 8.1   18.43      1  32        0         0
#> 197   21.60      1  69        1         0
#> 127.1  3.53      1  62        0         1
#> 140   12.68      1  59        1         0
#> 140.1 12.68      1  59        1         0
#> 96    14.54      1  33        0         1
#> 194.1 22.40      1  38        0         1
#> 97.1  19.14      1  65        0         1
#> 6.1   15.64      1  39        0         0
#> 110   17.56      1  65        0         1
#> 195.1 11.76      1  NA        1         0
#> 26.1  15.77      1  49        0         1
#> 86.4  23.81      1  58        0         1
#> 155.1 13.08      1  26        0         0
#> 89    11.44      1  NA        0         0
#> 52    10.42      1  52        0         1
#> 133.2 14.65      1  57        0         0
#> 14.3  12.89      1  21        0         0
#> 159.2 10.55      1  50        0         1
#> 42.1  12.43      1  49        0         1
#> 166.1 19.98      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 136   21.83      1  43        0         1
#> 140.2 12.68      1  59        1         0
#> 37    12.52      1  57        1         0
#> 182   24.00      0  35        0         0
#> 112   24.00      0  61        0         0
#> 75    24.00      0  21        1         0
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 104   24.00      0  50        1         0
#> 9     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 172   24.00      0  41        0         0
#> 20    24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 200   24.00      0  64        0         0
#> 46    24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 162   24.00      0  51        0         0
#> 3     24.00      0  31        1         0
#> 98    24.00      0  34        1         0
#> 54    24.00      0  53        1         0
#> 73    24.00      0  NA        0         1
#> 172.1 24.00      0  41        0         0
#> 80    24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 67    24.00      0  25        0         0
#> 172.2 24.00      0  41        0         0
#> 172.3 24.00      0  41        0         0
#> 87    24.00      0  27        0         0
#> 174   24.00      0  49        1         0
#> 35    24.00      0  51        0         0
#> 165   24.00      0  47        0         0
#> 152   24.00      0  36        0         1
#> 148   24.00      0  61        1         0
#> 73.1  24.00      0  NA        0         1
#> 3.1   24.00      0  31        1         0
#> 38    24.00      0  31        1         0
#> 118   24.00      0  44        1         0
#> 142.1 24.00      0  53        0         0
#> 112.1 24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 7.1   24.00      0  37        1         0
#> 185   24.00      0  44        1         0
#> 47    24.00      0  38        0         1
#> 186   24.00      0  45        1         0
#> 186.1 24.00      0  45        1         0
#> 172.4 24.00      0  41        0         0
#> 27    24.00      0  63        1         0
#> 38.1  24.00      0  31        1         0
#> 161   24.00      0  45        0         0
#> 27.1  24.00      0  63        1         0
#> 53    24.00      0  32        0         1
#> 82    24.00      0  34        0         0
#> 44    24.00      0  56        0         0
#> 165.1 24.00      0  47        0         0
#> 191   24.00      0  60        0         1
#> 163   24.00      0  66        0         0
#> 64.1  24.00      0  43        0         0
#> 28.1  24.00      0  67        1         0
#> 3.2   24.00      0  31        1         0
#> 200.1 24.00      0  64        0         0
#> 75.1  24.00      0  21        1         0
#> 142.2 24.00      0  53        0         0
#> 200.2 24.00      0  64        0         0
#> 174.1 24.00      0  49        1         0
#> 121   24.00      0  57        1         0
#> 28.2  24.00      0  67        1         0
#> 172.5 24.00      0  41        0         0
#> 1     24.00      0  23        1         0
#> 178   24.00      0  52        1         0
#> 121.1 24.00      0  57        1         0
#> 103   24.00      0  56        1         0
#> 109   24.00      0  48        0         0
#> 165.2 24.00      0  47        0         0
#> 144   24.00      0  28        0         1
#> 163.1 24.00      0  66        0         0
#> 28.3  24.00      0  67        1         0
#> 174.2 24.00      0  49        1         0
#> 73.2  24.00      0  NA        0         1
#> 115   24.00      0  NA        1         0
#> 47.1  24.00      0  38        0         1
#> 193   24.00      0  45        0         1
#> 182.1 24.00      0  35        0         0
#> 152.1 24.00      0  36        0         1
#> 126   24.00      0  48        0         0
#> 185.1 24.00      0  44        1         0
#> 67.1  24.00      0  25        0         0
#> 71    24.00      0  51        0         0
#> 121.2 24.00      0  57        1         0
#> 83    24.00      0   6        0         0
#> 17    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.765         NA        NA      NA
#> 2 age, Cure model           0.0148        NA        NA      NA
#> 3 grade_ii, Cure model     -0.121         NA        NA      NA
#> 4 grade_iii, Cure model     1.39          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00195        NA        NA      NA
#> 2 grade_ii, Survival model   0.391          NA        NA      NA
#> 3 grade_iii, Survival model  0.0129         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76545           0.01482          -0.12118           1.39356  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 242.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76544737       0.01482005      -0.12118452       1.39356443 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001948801      0.390769847      0.012946451 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.407518728 0.748223822 0.711831856 0.675586393 0.130448018 0.865167408
#>   [7] 0.594188401 0.594188401 0.630002024 0.201052577 0.937333353 0.675586393
#>  [13] 0.080976708 0.040790400 0.090931568 0.482988473 0.201052577 0.730016624
#>  [19] 0.454792334 0.040790400 0.340313825 0.312331912 0.228301432 0.275108696
#>  [25] 0.284570768 0.397880346 0.006746339 0.982108124 0.811158188 0.675586393
#>  [31] 0.501517866 0.820181018 0.040790400 0.937333353 0.547705152 0.445269470
#>  [37] 0.520119612 0.312331912 0.191061886 0.237802371 0.748223822 0.256552938
#>  [43] 0.359347893 0.019803632 0.847198401 0.520119612 0.435761992 0.865167408
#>  [49] 0.160305359 0.955216986 0.955216986 0.520119612 0.820181018 0.482988473
#>  [55] 0.464343407 0.019803632 0.150078239 0.407518728 0.388155458 0.639164532
#>  [61] 0.594188401 0.883177705 0.284570768 0.928280065 0.566303403 0.464343407
#>  [67] 0.973137860 0.594188401 0.247163023 0.284570768 0.369014814 0.675586393
#>  [73] 0.883177705 0.748223822 0.312331912 0.100925941 0.639164532 0.919200462
#>  [79] 0.201052577 0.510812485 0.040790400 0.110996501 0.575634248 0.711831856
#>  [85] 0.369014814 0.180908176 0.982108124 0.784264966 0.784264966 0.666381360
#>  [91] 0.130448018 0.340313825 0.575634248 0.426262194 0.547705152 0.040790400
#>  [97] 0.730016624 0.910121444 0.639164532 0.748223822 0.883177705 0.847198401
#> [103] 0.256552938 0.110996501 0.170585404 0.784264966 0.838180987 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   134    14    60    13   194    56   167 167.1   157   153    70  13.1   129 
#> 17.81 12.89 13.15 14.34 22.40 12.21 15.55 15.55 15.10 21.33  7.38 14.34 23.41 
#>    86    69   192 153.1   155    30  86.1    97    76    36   170    55    41 
#> 23.81 23.23 16.44 21.33 13.08 17.43 23.81 19.14 19.22 21.19 19.54 19.34 18.02 
#>    24   127   154  13.2    79   177  86.2  70.1    26   111   100  76.1   139 
#> 23.89  3.53 12.63 14.34 16.23 12.53 23.81  7.38 15.77 17.45 16.07 19.22 21.49 
#>    32  14.1   166   179    78    42 100.1   117  56.1   175    77  77.1 100.2 
#> 20.90 12.89 19.98 18.63 23.88 12.43 16.07 17.46 12.21 21.91  7.27  7.27 16.07 
#> 177.1    85   106  78.1    66 134.1    51   133 167.2   159  55.1   183   125 
#> 12.53 16.44 16.67 23.88 22.13 17.81 18.23 14.65 15.55 10.55 19.34  9.24 15.65 
#> 106.1    25 167.3    68  55.2     8  13.3 159.1  14.2  76.2    92 133.1   101 
#> 16.67  6.32 15.55 20.62 19.34 18.43 14.34 10.55 12.89 19.22 22.92 14.65  9.97 
#> 153.2   188  86.3   113     6  60.1   8.1   197 127.1   140 140.1    96 194.1 
#> 21.33 16.16 23.81 22.86 15.64 13.15 18.43 21.60  3.53 12.68 12.68 14.54 22.40 
#>  97.1   6.1   110  26.1  86.4 155.1    52 133.2  14.3 159.2  42.1 166.1 113.1 
#> 19.14 15.64 17.56 15.77 23.81 13.08 10.42 14.65 12.89 10.55 12.43 19.98 22.86 
#>   136 140.2    37   182   112    75    28    94   104     9    48   172    20 
#> 21.83 12.68 12.52 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   200    46   142   162     3    98    54 172.1    80     7    67 172.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.3    87   174    35   165   152   148   3.1    38   118 142.1 112.1   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1   185    47   186 186.1 172.4    27  38.1   161  27.1    53    82    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 165.1   191   163  64.1  28.1   3.2 200.1  75.1 142.2 200.2 174.1   121  28.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 172.5     1   178 121.1   103   109 165.2   144 163.1  28.3 174.2  47.1   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1 152.1   126 185.1  67.1    71 121.2    83    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[76]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.001652986               0.902151876               0.307543913 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.453956356             0.006959073             0.186371773 
#>   grade_iii, Cure model 
#>             0.728953638 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 179   18.63      1  42        0         0
#> 99    21.19      1  38        0         1
#> 133   14.65      1  57        0         0
#> 108   18.29      1  39        0         1
#> 42    12.43      1  49        0         1
#> 6     15.64      1  39        0         0
#> 13    14.34      1  54        0         1
#> 155   13.08      1  26        0         0
#> 170   19.54      1  43        0         1
#> 97    19.14      1  65        0         1
#> 26    15.77      1  49        0         1
#> 107   11.18      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 57    14.46      1  45        0         1
#> 86    23.81      1  58        0         1
#> 168   23.72      1  70        0         0
#> 52    10.42      1  52        0         1
#> 189   10.51      1  NA        1         0
#> 60    13.15      1  38        1         0
#> 157   15.10      1  47        0         0
#> 24    23.89      1  38        0         0
#> 5     16.43      1  51        0         1
#> 78    23.88      1  43        0         0
#> 78.1  23.88      1  43        0         0
#> 197   21.60      1  69        1         0
#> 189.1 10.51      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 30    17.43      1  78        0         0
#> 78.2  23.88      1  43        0         0
#> 158   20.14      1  74        1         0
#> 145   10.07      1  65        1         0
#> 157.1 15.10      1  47        0         0
#> 192   16.44      1  31        1         0
#> 175   21.91      1  43        0         0
#> 179.1 18.63      1  42        0         0
#> 76    19.22      1  54        0         1
#> 70     7.38      1  30        1         0
#> 188   16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 18    15.21      1  49        1         0
#> 183    9.24      1  67        1         0
#> 52.1  10.42      1  52        0         1
#> 184   17.77      1  38        0         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 25     6.32      1  34        1         0
#> 108.1 18.29      1  39        0         1
#> 133.1 14.65      1  57        0         0
#> 195.1 11.76      1  NA        1         0
#> 68    20.62      1  44        0         0
#> 5.1   16.43      1  51        0         1
#> 15    22.68      1  48        0         0
#> 158.1 20.14      1  74        1         0
#> 107.1 11.18      1  54        1         0
#> 105   19.75      1  60        0         0
#> 145.1 10.07      1  65        1         0
#> 85    16.44      1  36        0         0
#> 130   16.47      1  53        0         1
#> 114   13.68      1  NA        0         0
#> 149    8.37      1  33        1         0
#> 136   21.83      1  43        0         1
#> 157.2 15.10      1  47        0         0
#> 183.1  9.24      1  67        1         0
#> 10    10.53      1  34        0         0
#> 180   14.82      1  37        0         0
#> 57.1  14.46      1  45        0         1
#> 140   12.68      1  59        1         0
#> 114.1 13.68      1  NA        0         0
#> 106   16.67      1  49        1         0
#> 169   22.41      1  46        0         0
#> 188.1 16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 90    20.94      1  50        0         1
#> 23.1  16.92      1  61        0         0
#> 199   19.81      1  NA        0         1
#> 111   17.45      1  47        0         1
#> 93    10.33      1  52        0         1
#> 155.1 13.08      1  26        0         0
#> 90.1  20.94      1  50        0         1
#> 70.1   7.38      1  30        1         0
#> 194.1 22.40      1  38        0         1
#> 8     18.43      1  32        0         0
#> 14    12.89      1  21        0         0
#> 92    22.92      1  47        0         1
#> 145.2 10.07      1  65        1         0
#> 154   12.63      1  20        1         0
#> 179.2 18.63      1  42        0         0
#> 195.2 11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 99.1  21.19      1  38        0         1
#> 55.1  19.34      1  69        0         1
#> 190   20.81      1  42        1         0
#> 180.1 14.82      1  37        0         0
#> 128   20.35      1  35        0         1
#> 181   16.46      1  45        0         1
#> 59    10.16      1  NA        1         0
#> 99.2  21.19      1  38        0         1
#> 41    18.02      1  40        1         0
#> 16     8.71      1  71        0         1
#> 63    22.77      1  31        1         0
#> 26.1  15.77      1  49        0         1
#> 10.1  10.53      1  34        0         0
#> 183.2  9.24      1  67        1         0
#> 41.1  18.02      1  40        1         0
#> 154.1 12.63      1  20        1         0
#> 171.1 16.57      1  41        0         1
#> 30.1  17.43      1  78        0         0
#> 130.1 16.47      1  53        0         1
#> 6.1   15.64      1  39        0         0
#> 15.1  22.68      1  48        0         0
#> 125   15.65      1  67        1         0
#> 61    10.12      1  36        0         1
#> 182   24.00      0  35        0         0
#> 82    24.00      0  34        0         0
#> 21    24.00      0  47        0         0
#> 27    24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 160   24.00      0  31        1         0
#> 72    24.00      0  40        0         1
#> 82.1  24.00      0  34        0         0
#> 19    24.00      0  57        0         1
#> 193   24.00      0  45        0         1
#> 191   24.00      0  60        0         1
#> 17    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 112   24.00      0  61        0         0
#> 21.1  24.00      0  47        0         0
#> 172   24.00      0  41        0         0
#> 7     24.00      0  37        1         0
#> 147.1 24.00      0  76        1         0
#> 98    24.00      0  34        1         0
#> 19.1  24.00      0  57        0         1
#> 28    24.00      0  67        1         0
#> 112.1 24.00      0  61        0         0
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 144   24.00      0  28        0         1
#> 64    24.00      0  43        0         0
#> 138   24.00      0  44        1         0
#> 46    24.00      0  71        0         0
#> 27.1  24.00      0  63        1         0
#> 161   24.00      0  45        0         0
#> 94    24.00      0  51        0         1
#> 141   24.00      0  44        1         0
#> 33    24.00      0  53        0         0
#> 156.1 24.00      0  50        1         0
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 46.1  24.00      0  71        0         0
#> 34    24.00      0  36        0         0
#> 31    24.00      0  36        0         1
#> 161.1 24.00      0  45        0         0
#> 142   24.00      0  53        0         0
#> 176   24.00      0  43        0         1
#> 87.1  24.00      0  27        0         0
#> 191.1 24.00      0  60        0         1
#> 98.1  24.00      0  34        1         0
#> 67    24.00      0  25        0         0
#> 141.1 24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 62.1  24.00      0  71        0         0
#> 141.2 24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 182.1 24.00      0  35        0         0
#> 72.1  24.00      0  40        0         1
#> 119   24.00      0  17        0         0
#> 141.3 24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 31.1  24.00      0  36        0         1
#> 72.2  24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 46.2  24.00      0  71        0         0
#> 191.2 24.00      0  60        0         1
#> 21.2  24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 126   24.00      0  48        0         0
#> 2     24.00      0   9        0         0
#> 178   24.00      0  52        1         0
#> 87.2  24.00      0  27        0         0
#> 144.1 24.00      0  28        0         1
#> 17.1  24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 176.1 24.00      0  43        0         1
#> 1     24.00      0  23        1         0
#> 9     24.00      0  31        1         0
#> 161.2 24.00      0  45        0         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 33.1  24.00      0  53        0         0
#> 148   24.00      0  61        1         0
#> 65    24.00      0  57        1         0
#> 84.1  24.00      0  39        0         1
#> 126.1 24.00      0  48        0         0
#> 126.2 24.00      0  48        0         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 71    24.00      0  51        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.454          NA        NA      NA
#> 2 age, Cure model          0.00696        NA        NA      NA
#> 3 grade_ii, Cure model     0.186          NA        NA      NA
#> 4 grade_iii, Cure model    0.729          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00165        NA        NA      NA
#> 2 grade_ii, Survival model   0.902          NA        NA      NA
#> 3 grade_iii, Survival model  0.308          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.453956          0.006959          0.186372          0.728954  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 258.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.453956356      0.006959073      0.186371773      0.728953638 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.001652986      0.902151876      0.307543913 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.41414824 0.24455516 0.75067618 0.45310449 0.84715149 0.68522096
#>   [7] 0.78336127 0.79959268 0.36453560 0.40427918 0.66015416 0.85489979
#>  [13] 0.76706443 0.07465594 0.09129872 0.89261026 0.79153168 0.70995501
#>  [19] 0.01152456 0.61746438 0.03342514 0.03342514 0.23213516 0.52782886
#>  [25] 0.50941703 0.03342514 0.33433868 0.92263228 0.70995501 0.60007015
#>  [31] 0.20537511 0.41414824 0.39435649 0.97949137 0.64328588 0.63473694
#>  [37] 0.70175991 0.94431444 0.89261026 0.49087304 0.55542088 0.17939678
#>  [43] 0.99318973 0.45310449 0.75067618 0.31233611 0.61746438 0.13851608
#>  [49] 0.33433868 0.85489979 0.35435461 0.92263228 0.60007015 0.57334971
#>  [55] 0.97248577 0.21886407 0.70995501 0.94431444 0.87754355 0.73432004
#>  [61] 0.76706443 0.82371675 0.54630256 0.16531650 0.64328588 0.86998471
#>  [67] 0.27859918 0.52782886 0.50016724 0.90761416 0.79959268 0.27859918
#>  [73] 0.97949137 0.17939678 0.44319221 0.81564699 0.10828777 0.92263228
#>  [79] 0.83168999 0.41414824 0.37464133 0.24455516 0.37464133 0.30130919
#>  [85] 0.73432004 0.32339044 0.59114173 0.24455516 0.47248163 0.96541220
#>  [91] 0.12462106 0.66015416 0.87754355 0.94431444 0.47248163 0.83168999
#>  [97] 0.55542088 0.50941703 0.57334971 0.68522096 0.13851608 0.67691358
#> [103] 0.91513189 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   179    99   133   108    42     6    13   155   170    97    26   107    57 
#> 18.63 21.19 14.65 18.29 12.43 15.64 14.34 13.08 19.54 19.14 15.77 11.18 14.46 
#>    86   168    52    60   157    24     5    78  78.1   197    23    30  78.2 
#> 23.81 23.72 10.42 13.15 15.10 23.89 16.43 23.88 23.88 21.60 16.92 17.43 23.88 
#>   158   145 157.1   192   175 179.1    76    70   188    79    18   183  52.1 
#> 20.14 10.07 15.10 16.44 21.91 18.63 19.22  7.38 16.16 16.23 15.21  9.24 10.42 
#>   184   171   194    25 108.1 133.1    68   5.1    15 158.1 107.1   105 145.1 
#> 17.77 16.57 22.40  6.32 18.29 14.65 20.62 16.43 22.68 20.14 11.18 19.75 10.07 
#>    85   130   149   136 157.2 183.1    10   180  57.1   140   106   169 188.1 
#> 16.44 16.47  8.37 21.83 15.10  9.24 10.53 14.82 14.46 12.68 16.67 22.41 16.16 
#>   159    90  23.1   111    93 155.1  90.1  70.1 194.1     8    14    92 145.2 
#> 10.55 20.94 16.92 17.45 10.33 13.08 20.94  7.38 22.40 18.43 12.89 22.92 10.07 
#>   154 179.2    55  99.1  55.1   190 180.1   128   181  99.2    41    16    63 
#> 12.63 18.63 19.34 21.19 19.34 20.81 14.82 20.35 16.46 21.19 18.02  8.71 22.77 
#>  26.1  10.1 183.2  41.1 154.1 171.1  30.1 130.1   6.1  15.1   125    61   182 
#> 15.77 10.53  9.24 18.02 12.63 16.57 17.43 16.47 15.64 22.68 15.65 10.12 24.00 
#>    82    21    27   156   147   160    72  82.1    19   193   191    17    22 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112  21.1   172     7 147.1    98  19.1    28 112.1   186   162    20   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    64   138    46  27.1   161    94   141    33 156.1    87    62  46.1    34 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31 161.1   142   176  87.1 191.1  98.1    67 141.1   165  62.1 141.2    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 182.1  72.1   119 141.3   118  31.1  72.2    53  46.2 191.2  21.2    74   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   178  87.2 144.1  17.1   200 176.1     1     9 161.2    35   151   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  33.1   148    65  84.1 126.1 126.2    54   109    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[77]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01029193                0.41136239                0.29117317 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.317709724             0.006497679             0.177447203 
#>   grade_iii, Cure model 
#>             0.653717693 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 59    10.16      1  NA        1         0
#> 153   21.33      1  55        1         0
#> 68    20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 15    22.68      1  48        0         0
#> 24    23.89      1  38        0         0
#> 149    8.37      1  33        1         0
#> 117   17.46      1  26        0         1
#> 43    12.10      1  61        0         1
#> 23    16.92      1  61        0         0
#> 96    14.54      1  33        0         1
#> 68.1  20.62      1  44        0         0
#> 63    22.77      1  31        1         0
#> 149.1  8.37      1  33        1         0
#> 32    20.90      1  37        1         0
#> 197   21.60      1  69        1         0
#> 150   20.33      1  48        0         0
#> 124    9.73      1  NA        1         0
#> 58    19.34      1  39        0         0
#> 171   16.57      1  41        0         1
#> 190   20.81      1  42        1         0
#> 91     5.33      1  61        0         1
#> 190.1 20.81      1  42        1         0
#> 55    19.34      1  69        0         1
#> 129   23.41      1  53        1         0
#> 190.2 20.81      1  42        1         0
#> 51    18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 139   21.49      1  63        1         0
#> 125   15.65      1  67        1         0
#> 169   22.41      1  46        0         0
#> 140   12.68      1  59        1         0
#> 40    18.00      1  28        1         0
#> 96.1  14.54      1  33        0         1
#> 187    9.92      1  39        1         0
#> 79    16.23      1  54        1         0
#> 96.2  14.54      1  33        0         1
#> 113   22.86      1  34        0         0
#> 177   12.53      1  75        0         0
#> 42    12.43      1  49        0         1
#> 192   16.44      1  31        1         0
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 168   23.72      1  70        0         0
#> 10    10.53      1  34        0         0
#> 128   20.35      1  35        0         1
#> 16     8.71      1  71        0         1
#> 154.1 12.63      1  20        1         0
#> 136   21.83      1  43        0         1
#> 70     7.38      1  30        1         0
#> 145   10.07      1  65        1         0
#> 183    9.24      1  67        1         0
#> 30    17.43      1  78        0         0
#> 133   14.65      1  57        0         0
#> 86    23.81      1  58        0         1
#> 177.1 12.53      1  75        0         0
#> 187.1  9.92      1  39        1         0
#> 85    16.44      1  36        0         0
#> 39    15.59      1  37        0         1
#> 49    12.19      1  48        1         0
#> 85.1  16.44      1  36        0         0
#> 154.2 12.63      1  20        1         0
#> 86.1  23.81      1  58        0         1
#> 128.1 20.35      1  35        0         1
#> 39.1  15.59      1  37        0         1
#> 29    15.45      1  68        1         0
#> 101    9.97      1  10        0         1
#> 136.1 21.83      1  43        0         1
#> 49.1  12.19      1  48        1         0
#> 195   11.76      1  NA        1         0
#> 39.2  15.59      1  37        0         1
#> 39.3  15.59      1  37        0         1
#> 14    12.89      1  21        0         0
#> 128.2 20.35      1  35        0         1
#> 18    15.21      1  49        1         0
#> 101.1  9.97      1  10        0         1
#> 76    19.22      1  54        0         1
#> 192.1 16.44      1  31        1         0
#> 79.1  16.23      1  54        1         0
#> 70.1   7.38      1  30        1         0
#> 50    10.02      1  NA        1         0
#> 93.1  10.33      1  52        0         1
#> 133.1 14.65      1  57        0         0
#> 97    19.14      1  65        0         1
#> 37    12.52      1  57        1         0
#> 181   16.46      1  45        0         1
#> 159.1 10.55      1  50        0         1
#> 70.2   7.38      1  30        1         0
#> 14.1  12.89      1  21        0         0
#> 49.2  12.19      1  48        1         0
#> 23.1  16.92      1  61        0         0
#> 157   15.10      1  47        0         0
#> 18.1  15.21      1  49        1         0
#> 194   22.40      1  38        0         1
#> 181.1 16.46      1  45        0         1
#> 10.1  10.53      1  34        0         0
#> 123   13.00      1  44        1         0
#> 117.1 17.46      1  26        0         1
#> 96.3  14.54      1  33        0         1
#> 184   17.77      1  38        0         0
#> 32.1  20.90      1  37        1         0
#> 68.2  20.62      1  44        0         0
#> 167   15.55      1  56        1         0
#> 57    14.46      1  45        0         1
#> 180   14.82      1  37        0         0
#> 129.1 23.41      1  53        1         0
#> 189   10.51      1  NA        1         0
#> 39.4  15.59      1  37        0         1
#> 93.2  10.33      1  52        0         1
#> 130   16.47      1  53        0         1
#> 123.1 13.00      1  44        1         0
#> 140.1 12.68      1  59        1         0
#> 33    24.00      0  53        0         0
#> 115   24.00      0  NA        1         0
#> 94    24.00      0  51        0         1
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 48    24.00      0  31        1         0
#> 75    24.00      0  21        1         0
#> 2     24.00      0   9        0         0
#> 115.1 24.00      0  NA        1         0
#> 138   24.00      0  44        1         0
#> 186   24.00      0  45        1         0
#> 94.1  24.00      0  51        0         1
#> 146   24.00      0  63        1         0
#> 116   24.00      0  58        0         1
#> 80    24.00      0  41        0         0
#> 163   24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 84    24.00      0  39        0         1
#> 2.1   24.00      0   9        0         0
#> 48.1  24.00      0  31        1         0
#> 141   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 193   24.00      0  45        0         1
#> 186.1 24.00      0  45        1         0
#> 44    24.00      0  56        0         0
#> 28    24.00      0  67        1         0
#> 62    24.00      0  71        0         0
#> 173   24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 116.1 24.00      0  58        0         1
#> 141.1 24.00      0  44        1         0
#> 72.1  24.00      0  40        0         1
#> 137   24.00      0  45        1         0
#> 67.1  24.00      0  25        0         0
#> 94.2  24.00      0  51        0         1
#> 137.1 24.00      0  45        1         0
#> 178.1 24.00      0  52        1         0
#> 178.2 24.00      0  52        1         0
#> 116.2 24.00      0  58        0         1
#> 156   24.00      0  50        1         0
#> 137.2 24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 142.1 24.00      0  53        0         0
#> 2.2   24.00      0   9        0         0
#> 21    24.00      0  47        0         0
#> 116.3 24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 143   24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 2.3   24.00      0   9        0         0
#> 11    24.00      0  42        0         1
#> 185   24.00      0  44        1         0
#> 102   24.00      0  49        0         0
#> 27.1  24.00      0  63        1         0
#> 98    24.00      0  34        1         0
#> 143.1 24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 9     24.00      0  31        1         0
#> 144   24.00      0  28        0         1
#> 53    24.00      0  32        0         1
#> 80.1  24.00      0  41        0         0
#> 144.1 24.00      0  28        0         1
#> 73.1  24.00      0  NA        0         1
#> 104   24.00      0  50        1         0
#> 102.1 24.00      0  49        0         0
#> 38    24.00      0  31        1         0
#> 53.1  24.00      0  32        0         1
#> 147   24.00      0  76        1         0
#> 84.1  24.00      0  39        0         1
#> 83    24.00      0   6        0         0
#> 148   24.00      0  61        1         0
#> 75.1  24.00      0  21        1         0
#> 34    24.00      0  36        0         0
#> 75.2  24.00      0  21        1         0
#> 132   24.00      0  55        0         0
#> 137.3 24.00      0  45        1         0
#> 148.1 24.00      0  61        1         0
#> 31    24.00      0  36        0         1
#> 20    24.00      0  46        1         0
#> 103   24.00      0  56        1         0
#> 163.1 24.00      0  66        0         0
#> 144.2 24.00      0  28        0         1
#> 2.4   24.00      0   9        0         0
#> 112   24.00      0  61        0         0
#> 147.1 24.00      0  76        1         0
#> 151   24.00      0  42        0         0
#> 185.1 24.00      0  44        1         0
#> 178.3 24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.318          NA        NA      NA
#> 2 age, Cure model          0.00650        NA        NA      NA
#> 3 grade_ii, Cure model     0.177          NA        NA      NA
#> 4 grade_iii, Cure model    0.654          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0103        NA        NA      NA
#> 2 grade_ii, Survival model    0.411         NA        NA      NA
#> 3 grade_iii, Survival model   0.291         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.317710          0.006498          0.177447          0.653718  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 258.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.317709724      0.006497679      0.177447203      0.653717693 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01029193       0.41136239       0.29117317 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.095171807 0.140644799 0.231213245 0.043614326 0.001188545 0.934068709
#>   [7] 0.267586824 0.769824346 0.294943213 0.549641355 0.140644799 0.037104614
#>  [13] 0.934068709 0.103144327 0.079564157 0.188083027 0.196535460 0.313850894
#>  [19] 0.118407065 0.988914256 0.118407065 0.196535460 0.019320440 0.118407065
#>  [25] 0.240192104 0.824110350 0.087294193 0.410057853 0.050527521 0.642902079
#>  [31] 0.249317858 0.549641355 0.889940243 0.390455768 0.549641355 0.030485972
#>  [37] 0.695162618 0.727141288 0.352485731 0.780659168 0.664042201 0.013220900
#>  [43] 0.802297895 0.164246859 0.922951352 0.664042201 0.065197958 0.956132305
#>  [49] 0.856891621 0.911881423 0.285616369 0.528898965 0.005213891 0.695162618
#>  [55] 0.889940243 0.352485731 0.420037558 0.737901824 0.352485731 0.664042201
#>  [61] 0.005213891 0.164246859 0.420037558 0.478157493 0.867993666 0.065197958
#>  [67] 0.737901824 0.420037558 0.420037558 0.621884936 0.164246859 0.488275607
#>  [73] 0.867993666 0.213559450 0.352485731 0.390455768 0.956132305 0.824110350
#>  [79] 0.528898965 0.222331203 0.716411232 0.333189497 0.780659168 0.956132305
#>  [85] 0.621884936 0.737901824 0.294943213 0.508375439 0.488275607 0.057817928
#>  [91] 0.333189497 0.802297895 0.601005005 0.267586824 0.549641355 0.258400072
#>  [97] 0.103144327 0.140644799 0.468092758 0.590487768 0.518605048 0.019320440
#> [103] 0.420037558 0.824110350 0.323487739 0.601005005 0.642902079 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   153    68     8    15    24   149   117    43    23    96  68.1    63 149.1 
#> 21.33 20.62 18.43 22.68 23.89  8.37 17.46 12.10 16.92 14.54 20.62 22.77  8.37 
#>    32   197   150    58   171   190    91 190.1    55   129 190.2    51    93 
#> 20.90 21.60 20.33 19.34 16.57 20.81  5.33 20.81 19.34 23.41 20.81 18.23 10.33 
#>   139   125   169   140    40  96.1   187    79  96.2   113   177    42   192 
#> 21.49 15.65 22.41 12.68 18.00 14.54  9.92 16.23 14.54 22.86 12.53 12.43 16.44 
#>   159   154   168    10   128    16 154.1   136    70   145   183    30   133 
#> 10.55 12.63 23.72 10.53 20.35  8.71 12.63 21.83  7.38 10.07  9.24 17.43 14.65 
#>    86 177.1 187.1    85    39    49  85.1 154.2  86.1 128.1  39.1    29   101 
#> 23.81 12.53  9.92 16.44 15.59 12.19 16.44 12.63 23.81 20.35 15.59 15.45  9.97 
#> 136.1  49.1  39.2  39.3    14 128.2    18 101.1    76 192.1  79.1  70.1  93.1 
#> 21.83 12.19 15.59 15.59 12.89 20.35 15.21  9.97 19.22 16.44 16.23  7.38 10.33 
#> 133.1    97    37   181 159.1  70.2  14.1  49.2  23.1   157  18.1   194 181.1 
#> 14.65 19.14 12.52 16.46 10.55  7.38 12.89 12.19 16.92 15.10 15.21 22.40 16.46 
#>  10.1   123 117.1  96.3   184  32.1  68.2   167    57   180 129.1  39.4  93.2 
#> 10.53 13.00 17.46 14.54 17.77 20.90 20.62 15.55 14.46 14.82 23.41 15.59 10.33 
#>   130 123.1 140.1    33    94   200   178    48    75     2   138   186  94.1 
#> 16.47 13.00 12.68 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   146   116    80   163   142    84   2.1  48.1   141    67   193 186.1    44 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28    62   173    72 116.1 141.1  72.1   137  67.1  94.2 137.1 178.1 178.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 116.2   156 137.2   196 142.1   2.2    21 116.3   191   143    27   2.3    11 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   102  27.1    98 143.1     9   144    53  80.1 144.1   104 102.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  53.1   147  84.1    83   148  75.1    34  75.2   132 137.3 148.1    31    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   103 163.1 144.2   2.4   112 147.1   151 185.1 178.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[78]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002829766               0.346817323               0.433421177 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.93726226              0.02176341              0.03772338 
#>   grade_iii, Cure model 
#>              0.11053370 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 77     7.27      1  67        0         1
#> 157   15.10      1  47        0         0
#> 88    18.37      1  47        0         0
#> 41    18.02      1  40        1         0
#> 15    22.68      1  48        0         0
#> 129   23.41      1  53        1         0
#> 171   16.57      1  41        0         1
#> 37    12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 192   16.44      1  31        1         0
#> 29    15.45      1  68        1         0
#> 157.1 15.10      1  47        0         0
#> 4     17.64      1  NA        0         1
#> 153   21.33      1  55        1         0
#> 85    16.44      1  36        0         0
#> 39    15.59      1  37        0         1
#> 68    20.62      1  44        0         0
#> 140   12.68      1  59        1         0
#> 189   10.51      1  NA        1         0
#> 153.1 21.33      1  55        1         0
#> 168   23.72      1  70        0         0
#> 78    23.88      1  43        0         0
#> 57    14.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 93    10.33      1  52        0         1
#> 195   11.76      1  NA        1         0
#> 157.2 15.10      1  47        0         0
#> 155   13.08      1  26        0         0
#> 76    19.22      1  54        0         1
#> 158   20.14      1  74        1         0
#> 114   13.68      1  NA        0         0
#> 8     18.43      1  32        0         0
#> 183    9.24      1  67        1         0
#> 88.1  18.37      1  47        0         0
#> 107   11.18      1  54        1         0
#> 197   21.60      1  69        1         0
#> 10    10.53      1  34        0         0
#> 195.1 11.76      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 154   12.63      1  20        1         0
#> 97    19.14      1  65        0         1
#> 63    22.77      1  31        1         0
#> 195.2 11.76      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 13.1  14.34      1  54        0         1
#> 51    18.23      1  83        0         1
#> 24    23.89      1  38        0         0
#> 15.1  22.68      1  48        0         0
#> 25     6.32      1  34        1         0
#> 16     8.71      1  71        0         1
#> 40    18.00      1  28        1         0
#> 195.3 11.76      1  NA        1         0
#> 184.1 17.77      1  38        0         0
#> 32    20.90      1  37        1         0
#> 49    12.19      1  48        1         0
#> 175   21.91      1  43        0         0
#> 136   21.83      1  43        0         1
#> 93.1  10.33      1  52        0         1
#> 39.1  15.59      1  37        0         1
#> 124    9.73      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 81    14.06      1  34        0         0
#> 179   18.63      1  42        0         0
#> 86    23.81      1  58        0         1
#> 39.2  15.59      1  37        0         1
#> 134   17.81      1  47        1         0
#> 125   15.65      1  67        1         0
#> 30    17.43      1  78        0         0
#> 106   16.67      1  49        1         0
#> 170   19.54      1  43        0         1
#> 177   12.53      1  75        0         0
#> 133   14.65      1  57        0         0
#> 195.4 11.76      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 41.1  18.02      1  40        1         0
#> 189.1 10.51      1  NA        1         0
#> 85.1  16.44      1  36        0         0
#> 149    8.37      1  33        1         0
#> 170.1 19.54      1  43        0         1
#> 97.1  19.14      1  65        0         1
#> 51.1  18.23      1  83        0         1
#> 128   20.35      1  35        0         1
#> 16.1   8.71      1  71        0         1
#> 43    12.10      1  61        0         1
#> 37.1  12.52      1  57        1         0
#> 56.1  12.21      1  60        0         0
#> 40.1  18.00      1  28        1         0
#> 59    10.16      1  NA        1         0
#> 157.3 15.10      1  47        0         0
#> 101    9.97      1  10        0         1
#> 100   16.07      1  60        0         0
#> 117   17.46      1  26        0         1
#> 145   10.07      1  65        1         0
#> 39.3  15.59      1  37        0         1
#> 125.1 15.65      1  67        1         0
#> 57.1  14.46      1  45        0         1
#> 133.1 14.65      1  57        0         0
#> 107.1 11.18      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 91     5.33      1  61        0         1
#> 43.1  12.10      1  61        0         1
#> 108   18.29      1  39        0         1
#> 68.1  20.62      1  44        0         0
#> 85.2  16.44      1  36        0         0
#> 37.2  12.52      1  57        1         0
#> 55    19.34      1  69        0         1
#> 79    16.23      1  54        1         0
#> 66    22.13      1  53        0         0
#> 113   22.86      1  34        0         0
#> 90    20.94      1  50        0         1
#> 29.1  15.45      1  68        1         0
#> 74    24.00      0  43        0         1
#> 54    24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 142   24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 71    24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 185   24.00      0  44        1         0
#> 31    24.00      0  36        0         1
#> 3     24.00      0  31        1         0
#> 11    24.00      0  42        0         1
#> 38    24.00      0  31        1         0
#> 142.1 24.00      0  53        0         0
#> 75    24.00      0  21        1         0
#> 17    24.00      0  38        0         1
#> 152.1 24.00      0  36        0         1
#> 71.1  24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 156   24.00      0  50        1         0
#> 35.1  24.00      0  51        0         0
#> 28    24.00      0  67        1         0
#> 146   24.00      0  63        1         0
#> 131   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 118   24.00      0  44        1         0
#> 84    24.00      0  39        0         1
#> 144   24.00      0  28        0         1
#> 165   24.00      0  47        0         0
#> 87    24.00      0  27        0         0
#> 95    24.00      0  68        0         1
#> 173   24.00      0  19        0         1
#> 53    24.00      0  32        0         1
#> 122   24.00      0  66        0         0
#> 151   24.00      0  42        0         0
#> 3.1   24.00      0  31        1         0
#> 54.1  24.00      0  53        1         0
#> 75.1  24.00      0  21        1         0
#> 152.2 24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 98.1  24.00      0  34        1         0
#> 116   24.00      0  58        0         1
#> 191   24.00      0  60        0         1
#> 156.1 24.00      0  50        1         0
#> 118.1 24.00      0  44        1         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 33    24.00      0  53        0         0
#> 112   24.00      0  61        0         0
#> 1     24.00      0  23        1         0
#> 173.1 24.00      0  19        0         1
#> 116.1 24.00      0  58        0         1
#> 161   24.00      0  45        0         0
#> 126   24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 151.1 24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 35.2  24.00      0  51        0         0
#> 27    24.00      0  63        1         0
#> 80    24.00      0  41        0         0
#> 84.1  24.00      0  39        0         1
#> 28.1  24.00      0  67        1         0
#> 198   24.00      0  66        0         1
#> 20.1  24.00      0  46        1         0
#> 118.2 24.00      0  44        1         0
#> 21    24.00      0  47        0         0
#> 53.1  24.00      0  32        0         1
#> 54.2  24.00      0  53        1         0
#> 11.1  24.00      0  42        0         1
#> 75.2  24.00      0  21        1         0
#> 104   24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 172   24.00      0  41        0         0
#> 34    24.00      0  36        0         0
#> 115   24.00      0  NA        1         0
#> 185.1 24.00      0  44        1         0
#> 135   24.00      0  58        1         0
#> 72.1  24.00      0  40        0         1
#> 109.1 24.00      0  48        0         0
#> 173.2 24.00      0  19        0         1
#> 54.3  24.00      0  53        1         0
#> 198.2 24.00      0  66        0         1
#> 142.2 24.00      0  53        0         0
#> 94    24.00      0  51        0         1
#> 142.3 24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.937         NA        NA      NA
#> 2 age, Cure model           0.0218        NA        NA      NA
#> 3 grade_ii, Cure model      0.0377        NA        NA      NA
#> 4 grade_iii, Cure model     0.111         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00283        NA        NA      NA
#> 2 grade_ii, Survival model   0.347          NA        NA      NA
#> 3 grade_iii, Survival model  0.433          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.93726           0.02176           0.03772           0.11053  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.6 
#> Residual Deviance: 255.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.93726226       0.02176341       0.03772338       0.11053370 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002829766      0.346817323      0.433421177 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.98034622 0.73863790 0.45875646 0.50639947 0.18283142 0.11939851
#>   [7] 0.60316108 0.84962375 0.87083026 0.62000597 0.72342457 0.73863790
#>  [13] 0.26965620 0.62000597 0.69286341 0.31909227 0.82781480 0.26965620
#>  [19] 0.09879626 0.04944898 0.78364458 0.55116098 0.92662033 0.73863790
#>  [25] 0.82047576 0.40890423 0.35422704 0.44885967 0.95376254 0.45875646
#>  [31] 0.90595380 0.25600960 0.91971768 0.11939851 0.83511040 0.41927584
#>  [37] 0.16723042 0.36560825 0.79849664 0.79849664 0.48790670 0.02014373
#>  [43] 0.18283142 0.98692566 0.96048807 0.52450614 0.55116098 0.30701096
#>  [49] 0.88498325 0.22698279 0.24181902 0.92662033 0.69286341 0.61162946
#>  [55] 0.81313170 0.43894217 0.07723009 0.69286341 0.54228685 0.67690320
#>  [61] 0.57745259 0.58616977 0.37693818 0.84237447 0.76857780 0.58616977
#>  [67] 0.50639947 0.62000597 0.97372837 0.37693818 0.41927584 0.48790670
#>  [73] 0.34256714 0.96048807 0.89205306 0.84962375 0.87083026 0.52450614
#>  [79] 0.73863790 0.94700318 0.66067134 0.56870278 0.94021538 0.69286341
#>  [85] 0.67690320 0.78364458 0.76857780 0.90595380 0.66067134 0.99348075
#>  [91] 0.89205306 0.47821850 0.31909227 0.62000597 0.84962375 0.39831860
#>  [97] 0.65246742 0.21202042 0.15079684 0.29465220 0.72342457 0.00000000
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000
#> 
#> $Time
#>    77   157    88    41    15   129   171    37    56   192    29 157.1   153 
#>  7.27 15.10 18.37 18.02 22.68 23.41 16.57 12.52 12.21 16.44 15.45 15.10 21.33 
#>    85    39    68   140 153.1   168    78    57   184    93 157.2   155    76 
#> 16.44 15.59 20.62 12.68 21.33 23.72 23.88 14.46 17.77 10.33 15.10 13.08 19.22 
#>   158     8   183  88.1   107   197    10 129.1   154    97    63   166    13 
#> 20.14 18.43  9.24 18.37 11.18 21.60 10.53 23.41 12.63 19.14 22.77 19.98 14.34 
#>  13.1    51    24  15.1    25    16    40 184.1    32    49   175   136  93.1 
#> 14.34 18.23 23.89 22.68  6.32  8.71 18.00 17.77 20.90 12.19 21.91 21.83 10.33 
#>  39.1   130    81   179    86  39.2   134   125    30   106   170   177   133 
#> 15.59 16.47 14.06 18.63 23.81 15.59 17.81 15.65 17.43 16.67 19.54 12.53 14.65 
#> 106.1  41.1  85.1   149 170.1  97.1  51.1   128  16.1    43  37.1  56.1  40.1 
#> 16.67 18.02 16.44  8.37 19.54 19.14 18.23 20.35  8.71 12.10 12.52 12.21 18.00 
#> 157.3   101   100   117   145  39.3 125.1  57.1 133.1 107.1 100.1    91  43.1 
#> 15.10  9.97 16.07 17.46 10.07 15.59 15.65 14.46 14.65 11.18 16.07  5.33 12.10 
#>   108  68.1  85.2  37.2    55    79    66   113    90  29.1    74    54   200 
#> 18.29 20.62 16.44 12.52 19.34 16.23 22.13 22.86 20.94 15.45 24.00 24.00 24.00 
#>   142    20    71   152    35   102   185    31     3    11    38 142.1    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17 152.1  71.1    44   156  35.1    28   146   131    98   118    84   144 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   165    87    95   173    53   122   151   3.1  54.1  75.1 152.2   109  98.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   191 156.1 118.1     9    47    33   112     1 173.1 116.1   161   126 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    72 151.1   182  35.2    27    80  84.1  28.1   198  20.1 118.2    21  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.2  11.1  75.2   104    46 198.1   172    34 185.1   135  72.1 109.1 173.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  54.3 198.2 142.2    94 142.3    12 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[79]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.004896953               0.664988418               0.497475572 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.89594544              0.01822242             -0.10800983 
#>   grade_iii, Cure model 
#>              0.98978011 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 167   15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 190   20.81      1  42        1         0
#> 179   18.63      1  42        0         0
#> 100   16.07      1  60        0         0
#> 90    20.94      1  50        0         1
#> 130   16.47      1  53        0         1
#> 52    10.42      1  52        0         1
#> 42    12.43      1  49        0         1
#> 159   10.55      1  50        0         1
#> 92    22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 150   20.33      1  48        0         0
#> 130.1 16.47      1  53        0         1
#> 51    18.23      1  83        0         1
#> 5     16.43      1  51        0         1
#> 108   18.29      1  39        0         1
#> 166   19.98      1  48        0         0
#> 140   12.68      1  59        1         0
#> 18    15.21      1  49        1         0
#> 41.1  18.02      1  40        1         0
#> 113   22.86      1  34        0         0
#> 101    9.97      1  10        0         1
#> 91     5.33      1  61        0         1
#> 96    14.54      1  33        0         1
#> 179.1 18.63      1  42        0         0
#> 91.1   5.33      1  61        0         1
#> 171   16.57      1  41        0         1
#> 149    8.37      1  33        1         0
#> 25     6.32      1  34        1         0
#> 25.1   6.32      1  34        1         0
#> 78    23.88      1  43        0         0
#> 18.1  15.21      1  49        1         0
#> 127    3.53      1  62        0         1
#> 26    15.77      1  49        0         1
#> 154   12.63      1  20        1         0
#> 91.2   5.33      1  61        0         1
#> 168   23.72      1  70        0         0
#> 16     8.71      1  71        0         1
#> 6     15.64      1  39        0         0
#> 125   15.65      1  67        1         0
#> 100.1 16.07      1  60        0         0
#> 58    19.34      1  39        0         0
#> 127.1  3.53      1  62        0         1
#> 177   12.53      1  75        0         0
#> 101.1  9.97      1  10        0         1
#> 136   21.83      1  43        0         1
#> 91.3   5.33      1  61        0         1
#> 92.1  22.92      1  47        0         1
#> 113.1 22.86      1  34        0         0
#> 90.1  20.94      1  50        0         1
#> 190.1 20.81      1  42        1         0
#> 8     18.43      1  32        0         0
#> 56    12.21      1  60        0         0
#> 96.1  14.54      1  33        0         1
#> 5.1   16.43      1  51        0         1
#> 99    21.19      1  38        0         1
#> 93    10.33      1  52        0         1
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 79    16.23      1  54        1         0
#> 66    22.13      1  53        0         0
#> 187    9.92      1  39        1         0
#> 5.2   16.43      1  51        0         1
#> 79.1  16.23      1  54        1         0
#> 79.2  16.23      1  54        1         0
#> 100.2 16.07      1  60        0         0
#> 10    10.53      1  34        0         0
#> 136.1 21.83      1  43        0         1
#> 194   22.40      1  38        0         1
#> 150.1 20.33      1  48        0         0
#> 32    20.90      1  37        1         0
#> 123   13.00      1  44        1         0
#> 153   21.33      1  55        1         0
#> 192   16.44      1  31        1         0
#> 99.1  21.19      1  38        0         1
#> 45    17.42      1  54        0         1
#> 124    9.73      1  NA        1         0
#> 159.1 10.55      1  50        0         1
#> 16.1   8.71      1  71        0         1
#> 76    19.22      1  54        0         1
#> 145   10.07      1  65        1         0
#> 125.1 15.65      1  67        1         0
#> 14    12.89      1  21        0         0
#> 49    12.19      1  48        1         0
#> 79.3  16.23      1  54        1         0
#> 93.1  10.33      1  52        0         1
#> 190.2 20.81      1  42        1         0
#> 56.1  12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 52.1  10.42      1  52        0         1
#> 79.4  16.23      1  54        1         0
#> 13.1  14.34      1  54        0         1
#> 70     7.38      1  30        1         0
#> 57    14.46      1  45        0         1
#> 158   20.14      1  74        1         0
#> 130.2 16.47      1  53        0         1
#> 13.2  14.34      1  54        0         1
#> 190.3 20.81      1  42        1         0
#> 5.3   16.43      1  51        0         1
#> 10.1  10.53      1  34        0         0
#> 194.1 22.40      1  38        0         1
#> 177.1 12.53      1  75        0         0
#> 192.1 16.44      1  31        1         0
#> 168.1 23.72      1  70        0         0
#> 181   16.46      1  45        0         1
#> 114   13.68      1  NA        0         0
#> 114.1 13.68      1  NA        0         0
#> 136.2 21.83      1  43        0         1
#> 139   21.49      1  63        1         0
#> 79.5  16.23      1  54        1         0
#> 111   17.45      1  47        0         1
#> 7     24.00      0  37        1         0
#> 12    24.00      0  63        0         0
#> 94    24.00      0  51        0         1
#> 19    24.00      0  57        0         1
#> 198   24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 138   24.00      0  44        1         0
#> 34    24.00      0  36        0         0
#> 121   24.00      0  57        1         0
#> 122   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 74.1  24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 98    24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 121.1 24.00      0  57        1         0
#> 191   24.00      0  60        0         1
#> 193   24.00      0  45        0         1
#> 141   24.00      0  44        1         0
#> 131   24.00      0  66        0         0
#> 98.1  24.00      0  34        1         0
#> 196   24.00      0  19        0         0
#> 104   24.00      0  50        1         0
#> 122.1 24.00      0  66        0         0
#> 160   24.00      0  31        1         0
#> 138.1 24.00      0  44        1         0
#> 146   24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 33.1  24.00      0  53        0         0
#> 196.1 24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 141.1 24.00      0  44        1         0
#> 3.1   24.00      0  31        1         0
#> 62    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 162   24.00      0  51        0         0
#> 131.1 24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 22    24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 7.1   24.00      0  37        1         0
#> 173   24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 103   24.00      0  56        1         0
#> 119   24.00      0  17        0         0
#> 9     24.00      0  31        1         0
#> 3.2   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 84    24.00      0  39        0         1
#> 200   24.00      0  64        0         0
#> 104.1 24.00      0  50        1         0
#> 119.1 24.00      0  17        0         0
#> 115   24.00      0  NA        1         0
#> 65    24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 152.1 24.00      0  36        0         1
#> 147   24.00      0  76        1         0
#> 53    24.00      0  32        0         1
#> 138.2 24.00      0  44        1         0
#> 7.2   24.00      0  37        1         0
#> 176   24.00      0  43        0         1
#> 147.1 24.00      0  76        1         0
#> 193.1 24.00      0  45        0         1
#> 185   24.00      0  44        1         0
#> 141.2 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 46    24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 98.2  24.00      0  34        1         0
#> 126   24.00      0  48        0         0
#> 82    24.00      0  34        0         0
#> 98.3  24.00      0  34        1         0
#> 73    24.00      0  NA        0         1
#> 186   24.00      0  45        1         0
#> 104.2 24.00      0  50        1         0
#> 2.1   24.00      0   9        0         0
#> 144   24.00      0  28        0         1
#> 143.1 24.00      0  51        0         0
#> 119.2 24.00      0  17        0         0
#> 19.1  24.00      0  57        0         1
#> 103.1 24.00      0  56        1         0
#> 132   24.00      0  55        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.896         NA        NA      NA
#> 2 age, Cure model           0.0182        NA        NA      NA
#> 3 grade_ii, Cure model     -0.108         NA        NA      NA
#> 4 grade_iii, Cure model     0.990         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00490        NA        NA      NA
#> 2 grade_ii, Survival model   0.665          NA        NA      NA
#> 3 grade_iii, Survival model  0.497          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.89595           0.01822          -0.10801           0.98978  
#> 
#> Degrees of Freedom: 194 Total (i.e. Null);  191 Residual
#> Null Deviance:	    267.6 
#> Residual Deviance: 253.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.89594544       0.01822242      -0.10800983       0.98978011 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.004896953      0.664988418      0.497475572 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.77329164 0.56603511 0.42786356 0.52180944 0.73042073 0.39365643
#>   [7] 0.61474358 0.90415951 0.85716395 0.88361082 0.15788206 0.64464211
#>  [13] 0.46575100 0.61474358 0.55741609 0.66612962 0.54859670 0.49421632
#>  [19] 0.83558031 0.77924368 0.56603511 0.20153743 0.92927787 0.97263859
#>  [25] 0.79084254 0.52180944 0.97263859 0.60684506 0.95366426 0.96323846
#>  [31] 0.96323846 0.04286930 0.77924368 0.99092005 0.74904317 0.84103011
#>  [37] 0.97263859 0.09637811 0.94402205 0.76726735 0.75524628 0.73042073
#>  [43] 0.50350017 0.99092005 0.84643980 0.92927787 0.29781579 0.97263859
#>  [49] 0.15788206 0.20153743 0.39365643 0.42786356 0.53963460 0.86250635
#>  [55] 0.79084254 0.66612962 0.36910525 0.91429414 0.58246415 0.87838611
#>  [61] 0.69333192 0.27956528 0.93912192 0.66612962 0.69333192 0.69333192
#>  [67] 0.73042073 0.89389586 0.29781579 0.24358420 0.46575100 0.41663120
#>  [73] 0.82456209 0.35573126 0.64464211 0.36910525 0.59884131 0.88361082
#>  [79] 0.94402205 0.51274815 0.92430433 0.75524628 0.83007318 0.87311331
#>  [85] 0.69333192 0.91429414 0.42786356 0.86250635 0.80798369 0.90415951
#>  [91] 0.69333192 0.80798369 0.95846633 0.80228482 0.48488603 0.61474358
#>  [97] 0.80798369 0.42786356 0.66612962 0.89389586 0.24358420 0.84643980
#> [103] 0.64464211 0.09637811 0.63717024 0.29781579 0.34153244 0.69333192
#> [109] 0.59071346 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   167    41   190   179   100    90   130    52    42   159    92    85   150 
#> 15.55 18.02 20.81 18.63 16.07 20.94 16.47 10.42 12.43 10.55 22.92 16.44 20.33 
#> 130.1    51     5   108   166   140    18  41.1   113   101    91    96 179.1 
#> 16.47 18.23 16.43 18.29 19.98 12.68 15.21 18.02 22.86  9.97  5.33 14.54 18.63 
#>  91.1   171   149    25  25.1    78  18.1   127    26   154  91.2   168    16 
#>  5.33 16.57  8.37  6.32  6.32 23.88 15.21  3.53 15.77 12.63  5.33 23.72  8.71 
#>     6   125 100.1    58 127.1   177 101.1   136  91.3  92.1 113.1  90.1 190.1 
#> 15.64 15.65 16.07 19.34  3.53 12.53  9.97 21.83  5.33 22.92 22.86 20.94 20.81 
#>     8    56  96.1   5.1    99    93   184   107    79    66   187   5.2  79.1 
#> 18.43 12.21 14.54 16.43 21.19 10.33 17.77 11.18 16.23 22.13  9.92 16.43 16.23 
#>  79.2 100.2    10 136.1   194 150.1    32   123   153   192  99.1    45 159.1 
#> 16.23 16.07 10.53 21.83 22.40 20.33 20.90 13.00 21.33 16.44 21.19 17.42 10.55 
#>  16.1    76   145 125.1    14    49  79.3  93.1 190.2  56.1    13  52.1  79.4 
#>  8.71 19.22 10.07 15.65 12.89 12.19 16.23 10.33 20.81 12.21 14.34 10.42 16.23 
#>  13.1    70    57   158 130.2  13.2 190.3   5.3  10.1 194.1 177.1 192.1 168.1 
#> 14.34  7.38 14.46 20.14 16.47 14.34 20.81 16.43 10.53 22.40 12.53 16.44 23.72 
#>   181 136.2   139  79.5   111     7    12    94    19   198    74   138    34 
#> 16.46 21.83 21.49 16.23 17.45 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121   122    48    17  74.1    33    98   178 121.1   191   193   141   131 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.1   196   104 122.1   160 138.1   146    47  33.1 196.1     3 141.1   3.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62    38    27   152   162 131.1   156    22   174   7.1   173   143   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   103   119     9   3.2     1    84   200 104.1 119.1    65   137 152.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147    53 138.2   7.2   176 147.1 193.1   185 141.2   112   102    46    72 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  98.2   126    82  98.3   186 104.2   2.1   144 143.1 119.2  19.1 103.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[80]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.001339822               0.978529555               0.679763010 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.42746815              0.03029311              0.21575420 
#>   grade_iii, Cure model 
#>              0.64843515 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 18    15.21      1  49        1         0
#> 76    19.22      1  54        0         1
#> 167   15.55      1  56        1         0
#> 51    18.23      1  83        0         1
#> 192   16.44      1  31        1         0
#> 184   17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 183    9.24      1  67        1         0
#> 167.1 15.55      1  56        1         0
#> 43    12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 134   17.81      1  47        1         0
#> 183.1  9.24      1  67        1         0
#> 190   20.81      1  42        1         0
#> 158   20.14      1  74        1         0
#> 66    22.13      1  53        0         0
#> 123   13.00      1  44        1         0
#> 140   12.68      1  59        1         0
#> 105   19.75      1  60        0         0
#> 90    20.94      1  50        0         1
#> 159   10.55      1  50        0         1
#> 154   12.63      1  20        1         0
#> 125   15.65      1  67        1         0
#> 153   21.33      1  55        1         0
#> 39    15.59      1  37        0         1
#> 40    18.00      1  28        1         0
#> 154.1 12.63      1  20        1         0
#> 60    13.15      1  38        1         0
#> 78    23.88      1  43        0         0
#> 77     7.27      1  67        0         1
#> 18.1  15.21      1  49        1         0
#> 86    23.81      1  58        0         1
#> 49    12.19      1  48        1         0
#> 190.1 20.81      1  42        1         0
#> 136   21.83      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 77.1   7.27      1  67        0         1
#> 114   13.68      1  NA        0         0
#> 6     15.64      1  39        0         0
#> 181   16.46      1  45        0         1
#> 96    14.54      1  33        0         1
#> 30    17.43      1  78        0         0
#> 25     6.32      1  34        1         0
#> 52    10.42      1  52        0         1
#> 5     16.43      1  51        0         1
#> 96.1  14.54      1  33        0         1
#> 105.1 19.75      1  60        0         0
#> 70.1   7.38      1  30        1         0
#> 6.1   15.64      1  39        0         0
#> 42    12.43      1  49        0         1
#> 179   18.63      1  42        0         0
#> 154.2 12.63      1  20        1         0
#> 194   22.40      1  38        0         1
#> 39.1  15.59      1  37        0         1
#> 153.1 21.33      1  55        1         0
#> 188   16.16      1  46        0         1
#> 79    16.23      1  54        1         0
#> 97    19.14      1  65        0         1
#> 5.1   16.43      1  51        0         1
#> 39.2  15.59      1  37        0         1
#> 111   17.45      1  47        0         1
#> 66.1  22.13      1  53        0         0
#> 42.1  12.43      1  49        0         1
#> 52.1  10.42      1  52        0         1
#> 37    12.52      1  57        1         0
#> 145   10.07      1  65        1         0
#> 105.2 19.75      1  60        0         0
#> 36    21.19      1  48        0         1
#> 69    23.23      1  25        0         1
#> 133   14.65      1  57        0         0
#> 57    14.46      1  45        0         1
#> 60.1  13.15      1  38        1         0
#> 23    16.92      1  61        0         0
#> 32    20.90      1  37        1         0
#> 166   19.98      1  48        0         0
#> 16     8.71      1  71        0         1
#> 49.1  12.19      1  48        1         0
#> 153.2 21.33      1  55        1         0
#> 10    10.53      1  34        0         0
#> 5.2   16.43      1  51        0         1
#> 77.2   7.27      1  67        0         1
#> 114.1 13.68      1  NA        0         0
#> 79.1  16.23      1  54        1         0
#> 129   23.41      1  53        1         0
#> 36.1  21.19      1  48        0         1
#> 190.2 20.81      1  42        1         0
#> 168   23.72      1  70        0         0
#> 150   20.33      1  48        0         0
#> 55    19.34      1  69        0         1
#> 18.2  15.21      1  49        1         0
#> 78.1  23.88      1  43        0         0
#> 150.1 20.33      1  48        0         0
#> 25.1   6.32      1  34        1         0
#> 181.1 16.46      1  45        0         1
#> 78.2  23.88      1  43        0         0
#> 107.1 11.18      1  54        1         0
#> 39.3  15.59      1  37        0         1
#> 39.4  15.59      1  37        0         1
#> 139   21.49      1  63        1         0
#> 58    19.34      1  39        0         0
#> 8     18.43      1  32        0         0
#> 164   23.60      1  76        0         1
#> 24    23.89      1  38        0         0
#> 69.1  23.23      1  25        0         1
#> 123.1 13.00      1  44        1         0
#> 77.3   7.27      1  67        0         1
#> 39.5  15.59      1  37        0         1
#> 81    14.06      1  34        0         0
#> 69.2  23.23      1  25        0         1
#> 57.1  14.46      1  45        0         1
#> 166.1 19.98      1  48        0         0
#> 110   17.56      1  65        0         1
#> 20    24.00      0  46        1         0
#> 53    24.00      0  32        0         1
#> 19    24.00      0  57        0         1
#> 104   24.00      0  50        1         0
#> 135   24.00      0  58        1         0
#> 141   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 147   24.00      0  76        1         0
#> 1     24.00      0  23        1         0
#> 1.1   24.00      0  23        1         0
#> 83    24.00      0   6        0         0
#> 142   24.00      0  53        0         0
#> 9     24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 84    24.00      0  39        0         1
#> 119   24.00      0  17        0         0
#> 147.1 24.00      0  76        1         0
#> 176   24.00      0  43        0         1
#> 176.1 24.00      0  43        0         1
#> 75    24.00      0  21        1         0
#> 122.1 24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 84.1  24.00      0  39        0         1
#> 196   24.00      0  19        0         0
#> 163   24.00      0  66        0         0
#> 174   24.00      0  49        1         0
#> 82    24.00      0  34        0         0
#> 186.1 24.00      0  45        1         0
#> 200   24.00      0  64        0         0
#> 46    24.00      0  71        0         0
#> 193   24.00      0  45        0         1
#> 173.1 24.00      0  19        0         1
#> 72    24.00      0  40        0         1
#> 186.2 24.00      0  45        1         0
#> 132   24.00      0  55        0         0
#> 121.1 24.00      0  57        1         0
#> 62    24.00      0  71        0         0
#> 73    24.00      0  NA        0         1
#> 163.1 24.00      0  66        0         0
#> 20.1  24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 73.1  24.00      0  NA        0         1
#> 144   24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 196.1 24.00      0  19        0         0
#> 83.1  24.00      0   6        0         0
#> 118   24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 84.2  24.00      0  39        0         1
#> 176.2 24.00      0  43        0         1
#> 65    24.00      0  57        1         0
#> 34    24.00      0  36        0         0
#> 1.2   24.00      0  23        1         0
#> 75.1  24.00      0  21        1         0
#> 71    24.00      0  51        0         0
#> 44    24.00      0  56        0         0
#> 75.2  24.00      0  21        1         0
#> 104.1 24.00      0  50        1         0
#> 67    24.00      0  25        0         0
#> 31    24.00      0  36        0         1
#> 144.1 24.00      0  28        0         1
#> 17    24.00      0  38        0         1
#> 135.1 24.00      0  58        1         0
#> 121.2 24.00      0  57        1         0
#> 94    24.00      0  51        0         1
#> 12    24.00      0  63        0         0
#> 72.1  24.00      0  40        0         1
#> 161   24.00      0  45        0         0
#> 19.1  24.00      0  57        0         1
#> 53.1  24.00      0  32        0         1
#> 83.2  24.00      0   6        0         0
#> 118.1 24.00      0  44        1         0
#> 73.2  24.00      0  NA        0         1
#> 74    24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 47.1  24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 11    24.00      0  42        0         1
#> 132.1 24.00      0  55        0         0
#> 38.1  24.00      0  31        1         0
#> 9.1   24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 160   24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.43          NA        NA      NA
#> 2 age, Cure model           0.0303        NA        NA      NA
#> 3 grade_ii, Cure model      0.216         NA        NA      NA
#> 4 grade_iii, Cure model     0.648         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00134        NA        NA      NA
#> 2 grade_ii, Survival model   0.979          NA        NA      NA
#> 3 grade_iii, Survival model  0.680          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.42747           0.03029           0.21575           0.64844  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266 
#> Residual Deviance: 253.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.42746815       0.03029311       0.21575420       0.64843515 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.001339822      0.978529555      0.679763010 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.79748112 0.57460552 0.78563659 0.60736208 0.68288609 0.63088258
#>   [7] 0.91908673 0.95185274 0.78563659 0.91425823 0.96539263 0.62322022
#>  [13] 0.95185274 0.46254102 0.50671420 0.32906066 0.85876574 0.86931132
#>  [19] 0.53249151 0.44203185 0.92853422 0.87454041 0.73029607 0.38753369
#>  [25] 0.74963770 0.61538116 0.87454041 0.84797881 0.08168168 0.97423367
#>  [31] 0.79748112 0.16600623 0.90456845 0.46254102 0.35916303 0.97423367
#>  [37] 0.73676624 0.66843839 0.82019223 0.65355018 0.99147459 0.93795142
#>  [43] 0.69001413 0.82019223 0.53249151 0.96539263 0.73676624 0.89468415
#>  [49] 0.59105967 0.87454041 0.31354262 0.74963770 0.38753369 0.72371451
#>  [55] 0.71047957 0.58289953 0.69001413 0.74963770 0.64609315 0.32906066
#>  [61] 0.89468415 0.93795142 0.88966673 0.94724010 0.53249151 0.42080211
#>  [67] 0.26689553 0.81448690 0.83139813 0.84797881 0.66099786 0.45249499
#>  [73] 0.51536767 0.96088878 0.90456845 0.38753369 0.93324337 0.69001413
#>  [79] 0.97423367 0.71047957 0.24637977 0.42080211 0.46254102 0.19425726
#>  [85] 0.48897298 0.55786825 0.79748112 0.08168168 0.48897298 0.99147459
#>  [91] 0.66843839 0.08168168 0.91908673 0.74963770 0.74963770 0.37385755
#>  [97] 0.55786825 0.59921331 0.22211768 0.03157825 0.26689553 0.85876574
#> [103] 0.97423367 0.74963770 0.84244091 0.26689553 0.83139813 0.51536767
#> [109] 0.63854008 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>    18    76   167    51   192   184   107   183 167.1    43    70   134 183.1 
#> 15.21 19.22 15.55 18.23 16.44 17.77 11.18  9.24 15.55 12.10  7.38 17.81  9.24 
#>   190   158    66   123   140   105    90   159   154   125   153    39    40 
#> 20.81 20.14 22.13 13.00 12.68 19.75 20.94 10.55 12.63 15.65 21.33 15.59 18.00 
#> 154.1    60    78    77  18.1    86    49 190.1   136  77.1     6   181    96 
#> 12.63 13.15 23.88  7.27 15.21 23.81 12.19 20.81 21.83  7.27 15.64 16.46 14.54 
#>    30    25    52     5  96.1 105.1  70.1   6.1    42   179 154.2   194  39.1 
#> 17.43  6.32 10.42 16.43 14.54 19.75  7.38 15.64 12.43 18.63 12.63 22.40 15.59 
#> 153.1   188    79    97   5.1  39.2   111  66.1  42.1  52.1    37   145 105.2 
#> 21.33 16.16 16.23 19.14 16.43 15.59 17.45 22.13 12.43 10.42 12.52 10.07 19.75 
#>    36    69   133    57  60.1    23    32   166    16  49.1 153.2    10   5.2 
#> 21.19 23.23 14.65 14.46 13.15 16.92 20.90 19.98  8.71 12.19 21.33 10.53 16.43 
#>  77.2  79.1   129  36.1 190.2   168   150    55  18.2  78.1 150.1  25.1 181.1 
#>  7.27 16.23 23.41 21.19 20.81 23.72 20.33 19.34 15.21 23.88 20.33  6.32 16.46 
#>  78.2 107.1  39.3  39.4   139    58     8   164    24  69.1 123.1  77.3  39.5 
#> 23.88 11.18 15.59 15.59 21.49 19.34 18.43 23.60 23.89 23.23 13.00  7.27 15.59 
#>    81  69.2  57.1 166.1   110    20    53    19   104   135   141    38   122 
#> 14.06 23.23 14.46 19.98 17.56 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173   147     1   1.1    83   142     9    47   121   186    84   119 147.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176 176.1    75 122.1    48  84.1   196   163   174    82 186.1   200    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193 173.1    72 186.2   132 121.1    62 163.1  20.1   138   144   182 196.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.1   118    22   103  84.2 176.2    65    34   1.2  75.1    71    44  75.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 104.1    67    31 144.1    17 135.1 121.2    94    12  72.1   161  19.1  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  83.2 118.1    74    33  47.1     2    11 132.1  38.1   9.1   156   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[81]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                -0.0026712                 0.7188807                 0.4009038 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.5699515               0.0141547              -0.3801204 
#>   grade_iii, Cure model 
#>               0.8533958 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 41    18.02      1  40        1         0
#> 45    17.42      1  54        0         1
#> 85    16.44      1  36        0         0
#> 169   22.41      1  46        0         0
#> 155   13.08      1  26        0         0
#> 113   22.86      1  34        0         0
#> 25     6.32      1  34        1         0
#> 125   15.65      1  67        1         0
#> 16     8.71      1  71        0         1
#> 69    23.23      1  25        0         1
#> 36    21.19      1  48        0         1
#> 170   19.54      1  43        0         1
#> 168   23.72      1  70        0         0
#> 127    3.53      1  62        0         1
#> 40    18.00      1  28        1         0
#> 171   16.57      1  41        0         1
#> 61    10.12      1  36        0         1
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 4     17.64      1  NA        0         1
#> 170.1 19.54      1  43        0         1
#> 100   16.07      1  60        0         0
#> 150   20.33      1  48        0         0
#> 78    23.88      1  43        0         0
#> 26    15.77      1  49        0         1
#> 111   17.45      1  47        0         1
#> 61.1  10.12      1  36        0         1
#> 61.2  10.12      1  36        0         1
#> 60    13.15      1  38        1         0
#> 171.1 16.57      1  41        0         1
#> 15    22.68      1  48        0         0
#> 55.1  19.34      1  69        0         1
#> 110   17.56      1  65        0         1
#> 56    12.21      1  60        0         0
#> 199   19.81      1  NA        0         1
#> 110.1 17.56      1  65        0         1
#> 192   16.44      1  31        1         0
#> 58    19.34      1  39        0         0
#> 175   21.91      1  43        0         0
#> 99    21.19      1  38        0         1
#> 180   14.82      1  37        0         0
#> 128   20.35      1  35        0         1
#> 133   14.65      1  57        0         0
#> 39    15.59      1  37        0         1
#> 150.1 20.33      1  48        0         0
#> 106   16.67      1  49        1         0
#> 68    20.62      1  44        0         0
#> 8     18.43      1  32        0         0
#> 139   21.49      1  63        1         0
#> 61.3  10.12      1  36        0         1
#> 16.1   8.71      1  71        0         1
#> 91     5.33      1  61        0         1
#> 140   12.68      1  59        1         0
#> 14    12.89      1  21        0         0
#> 37    12.52      1  57        1         0
#> 49    12.19      1  48        1         0
#> 145   10.07      1  65        1         0
#> 113.1 22.86      1  34        0         0
#> 79    16.23      1  54        1         0
#> 158   20.14      1  74        1         0
#> 164   23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 180.1 14.82      1  37        0         0
#> 197   21.60      1  69        1         0
#> 96    14.54      1  33        0         1
#> 128.1 20.35      1  35        0         1
#> 133.1 14.65      1  57        0         0
#> 180.2 14.82      1  37        0         0
#> 13    14.34      1  54        0         1
#> 123   13.00      1  44        1         0
#> 59    10.16      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 66.1  22.13      1  53        0         0
#> 91.1   5.33      1  61        0         1
#> 14.1  12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 41.1  18.02      1  40        1         0
#> 86    23.81      1  58        0         1
#> 5     16.43      1  51        0         1
#> 192.1 16.44      1  31        1         0
#> 179   18.63      1  42        0         0
#> 97    19.14      1  65        0         1
#> 14.2  12.89      1  21        0         0
#> 66.2  22.13      1  53        0         0
#> 81    14.06      1  34        0         0
#> 105   19.75      1  60        0         0
#> 170.2 19.54      1  43        0         1
#> 36.1  21.19      1  48        0         1
#> 60.1  13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 110.2 17.56      1  65        0         1
#> 184   17.77      1  38        0         0
#> 13.1  14.34      1  54        0         1
#> 66.3  22.13      1  53        0         0
#> 77     7.27      1  67        0         1
#> 188   16.16      1  46        0         1
#> 183.1  9.24      1  67        1         0
#> 197.1 21.60      1  69        1         0
#> 55.2  19.34      1  69        0         1
#> 63    22.77      1  31        1         0
#> 189   10.51      1  NA        1         0
#> 123.1 13.00      1  44        1         0
#> 184.1 17.77      1  38        0         0
#> 169.1 22.41      1  46        0         0
#> 190   20.81      1  42        1         0
#> 76    19.22      1  54        0         1
#> 37.1  12.52      1  57        1         0
#> 45.1  17.42      1  54        0         1
#> 90    20.94      1  50        0         1
#> 151   24.00      0  42        0         0
#> 182   24.00      0  35        0         0
#> 138   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 103   24.00      0  56        1         0
#> 22    24.00      0  52        1         0
#> 11    24.00      0  42        0         1
#> 12    24.00      0  63        0         0
#> 104   24.00      0  50        1         0
#> 156   24.00      0  50        1         0
#> 34    24.00      0  36        0         0
#> 53    24.00      0  32        0         1
#> 9     24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 182.1 24.00      0  35        0         0
#> 144   24.00      0  28        0         1
#> 135   24.00      0  58        1         0
#> 7     24.00      0  37        1         0
#> 64    24.00      0  43        0         0
#> 31    24.00      0  36        0         1
#> 141   24.00      0  44        1         0
#> 27    24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 46    24.00      0  71        0         0
#> 11.1  24.00      0  42        0         1
#> 126   24.00      0  48        0         0
#> 161   24.00      0  45        0         0
#> 120   24.00      0  68        0         1
#> 191   24.00      0  60        0         1
#> 71    24.00      0  51        0         0
#> 17    24.00      0  38        0         1
#> 112   24.00      0  61        0         0
#> 151.1 24.00      0  42        0         0
#> 54.1  24.00      0  53        1         0
#> 2     24.00      0   9        0         0
#> 2.1   24.00      0   9        0         0
#> 141.1 24.00      0  44        1         0
#> 17.1  24.00      0  38        0         1
#> 162   24.00      0  51        0         0
#> 21    24.00      0  47        0         0
#> 178   24.00      0  52        1         0
#> 38    24.00      0  31        1         0
#> 191.1 24.00      0  60        0         1
#> 115   24.00      0  NA        1         0
#> 44    24.00      0  56        0         0
#> 161.1 24.00      0  45        0         0
#> 104.1 24.00      0  50        1         0
#> 17.2  24.00      0  38        0         1
#> 34.1  24.00      0  36        0         0
#> 174   24.00      0  49        1         0
#> 103.1 24.00      0  56        1         0
#> 151.2 24.00      0  42        0         0
#> 27.1  24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 122   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 191.2 24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 20    24.00      0  46        1         0
#> 75    24.00      0  21        1         0
#> 46.1  24.00      0  71        0         0
#> 142   24.00      0  53        0         0
#> 73    24.00      0  NA        0         1
#> 84    24.00      0  39        0         1
#> 152.1 24.00      0  36        0         1
#> 46.2  24.00      0  71        0         0
#> 148   24.00      0  61        1         0
#> 156.1 24.00      0  50        1         0
#> 1     24.00      0  23        1         0
#> 119   24.00      0  17        0         0
#> 20.1  24.00      0  46        1         0
#> 162.1 24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 132.1 24.00      0  55        0         0
#> 151.3 24.00      0  42        0         0
#> 28    24.00      0  67        1         0
#> 28.1  24.00      0  67        1         0
#> 82    24.00      0  34        0         0
#> 75.1  24.00      0  21        1         0
#> 54.2  24.00      0  53        1         0
#> 160   24.00      0  31        1         0
#> 196   24.00      0  19        0         0
#> 22.1  24.00      0  52        1         0
#> 135.1 24.00      0  58        1         0
#> 95    24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.570         NA        NA      NA
#> 2 age, Cure model           0.0142        NA        NA      NA
#> 3 grade_ii, Cure model     -0.380         NA        NA      NA
#> 4 grade_iii, Cure model     0.853         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00267        NA        NA      NA
#> 2 grade_ii, Survival model   0.719          NA        NA      NA
#> 3 grade_iii, Survival model  0.401          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.56995           0.01415          -0.38012           0.85340  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.4 
#> Residual Deviance: 253.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.5699515        0.0141547       -0.3801204        0.8533958 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       -0.0026712        0.7188807        0.4009038 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.156584299 0.484649746 0.564725998 0.624854917 0.132507362 0.808229914
#>   [7] 0.082497827 0.971505773 0.698107461 0.949910515 0.069040203 0.260287629
#>  [13] 0.381710172 0.039028491 0.992880912 0.502755757 0.590786998 0.899007081
#>  [19] 0.607815218 0.410074764 0.381710172 0.681942560 0.341931391 0.008019049
#>  [25] 0.690039683 0.555877768 0.899007081 0.899007081 0.792808805 0.590786998
#>  [31] 0.120144980 0.410074764 0.529623016 0.884033970 0.529623016 0.624854917
#>  [37] 0.410074764 0.214158359 0.260287629 0.721985750 0.322152334 0.745519853
#>  [43] 0.706109045 0.341931391 0.582125588 0.311875708 0.475210084 0.249137082
#>  [49] 0.899007081 0.949910515 0.978666844 0.853898870 0.831177348 0.869092794
#>  [55] 0.891545835 0.928142357 0.082497827 0.657729146 0.361849382 0.054469779
#>  [61] 0.168784583 0.721985750 0.226612038 0.761340264 0.322152334 0.745519853
#>  [67] 0.721985750 0.769261618 0.815982590 0.657729146 0.168784583 0.978666844
#>  [73] 0.831177348 0.714078782 0.935471322 0.861489750 0.484649746 0.024619481
#>  [79] 0.649455306 0.624854917 0.465785764 0.456381644 0.831177348 0.168784583
#>  [85] 0.784928844 0.371760130 0.381710172 0.260287629 0.792808805 0.616354148
#>  [91] 0.529623016 0.511744085 0.769261618 0.168784583 0.964298270 0.673859651
#>  [97] 0.935471322 0.226612038 0.410074764 0.107934753 0.815982590 0.511744085
#> [103] 0.132507362 0.301636522 0.446927823 0.869092794 0.564725998 0.291098951
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>   194    41    45    85   169   155   113    25   125    16    69    36   170 
#> 22.40 18.02 17.42 16.44 22.41 13.08 22.86  6.32 15.65  8.71 23.23 21.19 19.54 
#>   168   127    40   171    61   130    55 170.1   100   150    78    26   111 
#> 23.72  3.53 18.00 16.57 10.12 16.47 19.34 19.54 16.07 20.33 23.88 15.77 17.45 
#>  61.1  61.2    60 171.1    15  55.1   110    56 110.1   192    58   175    99 
#> 10.12 10.12 13.15 16.57 22.68 19.34 17.56 12.21 17.56 16.44 19.34 21.91 21.19 
#>   180   128   133    39 150.1   106    68     8   139  61.3  16.1    91   140 
#> 14.82 20.35 14.65 15.59 20.33 16.67 20.62 18.43 21.49 10.12  8.71  5.33 12.68 
#>    14    37    49   145 113.1    79   158   164    66 180.1   197    96 128.1 
#> 12.89 12.52 12.19 10.07 22.86 16.23 20.14 23.60 22.13 14.82 21.60 14.54 20.35 
#> 133.1 180.2    13   123  79.1  66.1  91.1  14.1    29   183   177  41.1    86 
#> 14.65 14.82 14.34 13.00 16.23 22.13  5.33 12.89 15.45  9.24 12.53 18.02 23.81 
#>     5 192.1   179    97  14.2  66.2    81   105 170.2  36.1  60.1   181 110.2 
#> 16.43 16.44 18.63 19.14 12.89 22.13 14.06 19.75 19.54 21.19 13.15 16.46 17.56 
#>   184  13.1  66.3    77   188 183.1 197.1  55.2    63 123.1 184.1 169.1   190 
#> 17.77 14.34 22.13  7.27 16.16  9.24 21.60 19.34 22.77 13.00 17.77 22.41 20.81 
#>    76  37.1  45.1    90   151   182   138   118   132   103    22    11    12 
#> 19.22 12.52 17.42 20.94 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   104   156    34    53     9   152 182.1   144   135     7    64    31   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    27    54    46  11.1   126   161   120   191    71    17   112 151.1  54.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     2   2.1 141.1  17.1   162    21   178    38 191.1    44 161.1 104.1  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  34.1   174 103.1 151.2  27.1    47   122     3   143 191.2    65   121    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    75  46.1   142    84 152.1  46.2   148 156.1     1   119  20.1 162.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 151.3    28  28.1    82  75.1  54.2   160   196  22.1 135.1    95 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[82]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.00781287                0.39477489                0.10955015 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.331154403             0.003909508            -0.041025095 
#>   grade_iii, Cure model 
#>             1.180751377 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 194   22.40      1  38        0         1
#> 171   16.57      1  41        0         1
#> 169   22.41      1  46        0         0
#> 5     16.43      1  51        0         1
#> 192   16.44      1  31        1         0
#> 63    22.77      1  31        1         0
#> 15    22.68      1  48        0         0
#> 92    22.92      1  47        0         1
#> 166   19.98      1  48        0         0
#> 43    12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 86    23.81      1  58        0         1
#> 177   12.53      1  75        0         0
#> 106   16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 139   21.49      1  63        1         0
#> 150   20.33      1  48        0         0
#> 159   10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 188   16.16      1  46        0         1
#> 61    10.12      1  36        0         1
#> 25     6.32      1  34        1         0
#> 77     7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 183    9.24      1  67        1         0
#> 155   13.08      1  26        0         0
#> 181   16.46      1  45        0         1
#> 4     17.64      1  NA        0         1
#> 25.1   6.32      1  34        1         0
#> 88    18.37      1  47        0         0
#> 195   11.76      1  NA        1         0
#> 192.1 16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 51    18.23      1  83        0         1
#> 93    10.33      1  52        0         1
#> 88.1  18.37      1  47        0         0
#> 39    15.59      1  37        0         1
#> 177.1 12.53      1  75        0         0
#> 45    17.42      1  54        0         1
#> 66    22.13      1  53        0         0
#> 86.1  23.81      1  58        0         1
#> 123   13.00      1  44        1         0
#> 101.1  9.97      1  10        0         1
#> 197.1 21.60      1  69        1         0
#> 14    12.89      1  21        0         0
#> 150.1 20.33      1  48        0         0
#> 113.1 22.86      1  34        0         0
#> 158   20.14      1  74        1         0
#> 18    15.21      1  49        1         0
#> 23    16.92      1  61        0         0
#> 60    13.15      1  38        1         0
#> 169.1 22.41      1  46        0         0
#> 199   19.81      1  NA        0         1
#> 150.2 20.33      1  48        0         0
#> 166.1 19.98      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 43.1  12.10      1  61        0         1
#> 77.1   7.27      1  67        0         1
#> 25.2   6.32      1  34        1         0
#> 77.2   7.27      1  67        0         1
#> 136   21.83      1  43        0         1
#> 169.2 22.41      1  46        0         0
#> 43.2  12.10      1  61        0         1
#> 69    23.23      1  25        0         1
#> 5.1   16.43      1  51        0         1
#> 79    16.23      1  54        1         0
#> 68    20.62      1  44        0         0
#> 41    18.02      1  40        1         0
#> 16     8.71      1  71        0         1
#> 91     5.33      1  61        0         1
#> 133   14.65      1  57        0         0
#> 50    10.02      1  NA        1         0
#> 184   17.77      1  38        0         0
#> 10    10.53      1  34        0         0
#> 55    19.34      1  69        0         1
#> 90    20.94      1  50        0         1
#> 23.1  16.92      1  61        0         0
#> 25.3   6.32      1  34        1         0
#> 10.1  10.53      1  34        0         0
#> 86.2  23.81      1  58        0         1
#> 63.1  22.77      1  31        1         0
#> 40    18.00      1  28        1         0
#> 29    15.45      1  68        1         0
#> 127    3.53      1  62        0         1
#> 194.2 22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 136.1 21.83      1  43        0         1
#> 16.1   8.71      1  71        0         1
#> 130   16.47      1  53        0         1
#> 117   17.46      1  26        0         1
#> 63.2  22.77      1  31        1         0
#> 69.1  23.23      1  25        0         1
#> 96    14.54      1  33        0         1
#> 108   18.29      1  39        0         1
#> 86.3  23.81      1  58        0         1
#> 177.2 12.53      1  75        0         0
#> 24    23.89      1  38        0         0
#> 91.1   5.33      1  61        0         1
#> 155.1 13.08      1  26        0         0
#> 26    15.77      1  49        0         1
#> 76    19.22      1  54        0         1
#> 128   20.35      1  35        0         1
#> 6     15.64      1  39        0         0
#> 123.1 13.00      1  44        1         0
#> 166.2 19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 149    8.37      1  33        1         0
#> 199.1 19.81      1  NA        0         1
#> 76.1  19.22      1  54        0         1
#> 190.1 20.81      1  42        1         0
#> 25.4   6.32      1  34        1         0
#> 57    14.46      1  45        0         1
#> 161   24.00      0  45        0         0
#> 94    24.00      0  51        0         1
#> 82    24.00      0  34        0         0
#> 94.1  24.00      0  51        0         1
#> 71    24.00      0  51        0         0
#> 142   24.00      0  53        0         0
#> 178   24.00      0  52        1         0
#> 186   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 115   24.00      0  NA        1         0
#> 44    24.00      0  56        0         0
#> 186.1 24.00      0  45        1         0
#> 160   24.00      0  31        1         0
#> 143   24.00      0  51        0         0
#> 112   24.00      0  61        0         0
#> 102   24.00      0  49        0         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 102.1 24.00      0  49        0         0
#> 75    24.00      0  21        1         0
#> 11    24.00      0  42        0         1
#> 3     24.00      0  31        1         0
#> 48    24.00      0  31        1         0
#> 178.1 24.00      0  52        1         0
#> 20    24.00      0  46        1         0
#> 200   24.00      0  64        0         0
#> 103   24.00      0  56        1         0
#> 47    24.00      0  38        0         1
#> 72    24.00      0  40        0         1
#> 185   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 165   24.00      0  47        0         0
#> 102.2 24.00      0  49        0         0
#> 98    24.00      0  34        1         0
#> 174   24.00      0  49        1         0
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 156   24.00      0  50        1         0
#> 147   24.00      0  76        1         0
#> 67.1  24.00      0  25        0         0
#> 21    24.00      0  47        0         0
#> 65.1  24.00      0  57        1         0
#> 137   24.00      0  45        1         0
#> 141   24.00      0  44        1         0
#> 95    24.00      0  68        0         1
#> 67.2  24.00      0  25        0         0
#> 84    24.00      0  39        0         1
#> 160.1 24.00      0  31        1         0
#> 103.1 24.00      0  56        1         0
#> 94.2  24.00      0  51        0         1
#> 20.1  24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 3.1   24.00      0  31        1         0
#> 120   24.00      0  68        0         1
#> 147.1 24.00      0  76        1         0
#> 94.3  24.00      0  51        0         1
#> 47.1  24.00      0  38        0         1
#> 87    24.00      0  27        0         0
#> 62    24.00      0  71        0         0
#> 118.1 24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 152   24.00      0  36        0         1
#> 34    24.00      0  36        0         0
#> 102.3 24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 172   24.00      0  41        0         0
#> 151.1 24.00      0  42        0         0
#> 147.2 24.00      0  76        1         0
#> 193   24.00      0  45        0         1
#> 27    24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 72.1  24.00      0  40        0         1
#> 67.3  24.00      0  25        0         0
#> 118.2 24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 174.1 24.00      0  49        1         0
#> 71.1  24.00      0  51        0         0
#> 137.1 24.00      0  45        1         0
#> 165.1 24.00      0  47        0         0
#> 142.1 24.00      0  53        0         0
#> 67.4  24.00      0  25        0         0
#> 34.1  24.00      0  36        0         0
#> 72.2  24.00      0  40        0         1
#> 62.1  24.00      0  71        0         0
#> 17    24.00      0  38        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.331          NA        NA      NA
#> 2 age, Cure model          0.00391        NA        NA      NA
#> 3 grade_ii, Cure model    -0.0410         NA        NA      NA
#> 4 grade_iii, Cure model    1.18           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00781        NA        NA      NA
#> 2 grade_ii, Survival model   0.395          NA        NA      NA
#> 3 grade_iii, Survival model  0.110          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.33115           0.00391          -0.04103           1.18075  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 252.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.331154403      0.003909508     -0.041025095      1.180751377 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.00781287       0.39477489       0.10955015 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.34032512 0.66468364 0.30418725 0.70091459 0.68668809 0.25214507
#>   [7] 0.29092164 0.20448317 0.52123395 0.85147278 0.22124743 0.10584011
#>  [13] 0.83314913 0.65725215 0.86948747 0.42885223 0.48592880 0.87548168
#>  [19] 0.90510987 0.72191943 0.89921206 0.95666225 0.93986333 0.40841165
#>  [25] 0.91683561 0.80167833 0.67940247 0.95666225 0.57130859 0.68668809
#>  [31] 0.73573168 0.59558033 0.89329569 0.57130859 0.74928902 0.83314913
#>  [37] 0.63463301 0.37464065 0.10584011 0.81438841 0.90510987 0.40841165
#>  [43] 0.82688534 0.48592880 0.22124743 0.51247953 0.76267438 0.64227513
#>  [49] 0.79527495 0.30418725 0.48592880 0.52123395 0.34032512 0.85147278
#>  [55] 0.93986333 0.95666225 0.93986333 0.38625954 0.30418725 0.85147278
#>  [61] 0.17071287 0.70091459 0.71495249 0.46734290 0.60354747 0.92266111
#>  [67] 0.98375876 0.76925444 0.61918364 0.88144936 0.54648958 0.43885288
#>  [73] 0.64227513 0.95666225 0.88144936 0.10584011 0.25214507 0.61140789
#>  [79] 0.75602686 0.99459233 0.34032512 0.44870778 0.38625954 0.92266111
#>  [85] 0.67207078 0.62692580 0.25214507 0.17071287 0.77580308 0.58749047
#>  [91] 0.10584011 0.83314913 0.05034016 0.98375876 0.80167833 0.72884637
#>  [97] 0.55492081 0.47667812 0.74252137 0.81438841 0.52123395 0.78881974
#> [103] 0.93413908 0.55492081 0.44870778 0.95666225 0.78232727 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [193] 0.00000000 0.00000000
#> 
#> $Time
#>   194   171   169     5   192    63    15    92   166    43   113    86   177 
#> 22.40 16.57 22.41 16.43 16.44 22.77 22.68 22.92 19.98 12.10 22.86 23.81 12.53 
#>   106   107   139   150   159   101   188    61    25    77   197   183   155 
#> 16.67 11.18 21.49 20.33 10.55  9.97 16.16 10.12  6.32  7.27 21.60  9.24 13.08 
#>   181  25.1    88 192.1   125    51    93  88.1    39 177.1    45    66  86.1 
#> 16.46  6.32 18.37 16.44 15.65 18.23 10.33 18.37 15.59 12.53 17.42 22.13 23.81 
#>   123 101.1 197.1    14 150.1 113.1   158    18    23    60 169.1 150.2 166.1 
#> 13.00  9.97 21.60 12.89 20.33 22.86 20.14 15.21 16.92 13.15 22.41 20.33 19.98 
#> 194.1  43.1  77.1  25.2  77.2   136 169.2  43.2    69   5.1    79    68    41 
#> 22.40 12.10  7.27  6.32  7.27 21.83 22.41 12.10 23.23 16.43 16.23 20.62 18.02 
#>    16    91   133   184    10    55    90  23.1  25.3  10.1  86.2  63.1    40 
#>  8.71  5.33 14.65 17.77 10.53 19.34 20.94 16.92  6.32 10.53 23.81 22.77 18.00 
#>    29   127 194.2   190 136.1  16.1   130   117  63.2  69.1    96   108  86.3 
#> 15.45  3.53 22.40 20.81 21.83  8.71 16.47 17.46 22.77 23.23 14.54 18.29 23.81 
#> 177.2    24  91.1 155.1    26    76   128     6 123.1 166.2    13   149  76.1 
#> 12.53 23.89  5.33 13.08 15.77 19.22 20.35 15.64 13.00 19.98 14.34  8.37 19.22 
#> 190.1  25.4    57   161    94    82  94.1    71   142   178   186    28    44 
#> 20.81  6.32 14.46 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 186.1   160   143   112   102    35   151 102.1    75    11     3    48 178.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20   200   103    47    72   185   118   163   165 102.2    98   174    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    67   156   147  67.1    21  65.1   137   141    95  67.2    84 160.1 103.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  94.2  20.1    64   3.1   120 147.1  94.3  47.1    87    62 118.1   182   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    34 102.3   146   148   172 151.1 147.2   193    27    83  72.1  67.3 118.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    38  11.1 174.1  71.1 137.1 165.1 142.1  67.4  34.1  72.2  62.1    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[83]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.003670069               0.904677417               0.261879183 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              -0.9570452               0.0261401              -0.6832846 
#>   grade_iii, Cure model 
#>               0.5666594 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 177   12.53      1  75        0         0
#> 90    20.94      1  50        0         1
#> 60    13.15      1  38        1         0
#> 5     16.43      1  51        0         1
#> 195   11.76      1  NA        1         0
#> 189   10.51      1  NA        1         0
#> 134   17.81      1  47        1         0
#> 69    23.23      1  25        0         1
#> 51    18.23      1  83        0         1
#> 149    8.37      1  33        1         0
#> 26    15.77      1  49        0         1
#> 6     15.64      1  39        0         0
#> 117   17.46      1  26        0         1
#> 127    3.53      1  62        0         1
#> 77     7.27      1  67        0         1
#> 29    15.45      1  68        1         0
#> 14    12.89      1  21        0         0
#> 133   14.65      1  57        0         0
#> 42    12.43      1  49        0         1
#> 66    22.13      1  53        0         0
#> 14.1  12.89      1  21        0         0
#> 192   16.44      1  31        1         0
#> 13    14.34      1  54        0         1
#> 195.1 11.76      1  NA        1         0
#> 13.1  14.34      1  54        0         1
#> 183    9.24      1  67        1         0
#> 58    19.34      1  39        0         0
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 49    12.19      1  48        1         0
#> 5.1   16.43      1  51        0         1
#> 6.1   15.64      1  39        0         0
#> 5.2   16.43      1  51        0         1
#> 133.1 14.65      1  57        0         0
#> 180   14.82      1  37        0         0
#> 57    14.46      1  45        0         1
#> 177.1 12.53      1  75        0         0
#> 36.1  21.19      1  48        0         1
#> 78    23.88      1  43        0         0
#> 105   19.75      1  60        0         0
#> 110   17.56      1  65        0         1
#> 175   21.91      1  43        0         0
#> 157   15.10      1  47        0         0
#> 123   13.00      1  44        1         0
#> 158   20.14      1  74        1         0
#> 57.1  14.46      1  45        0         1
#> 145   10.07      1  65        1         0
#> 88    18.37      1  47        0         0
#> 92    22.92      1  47        0         1
#> 14.2  12.89      1  21        0         0
#> 184   17.77      1  38        0         0
#> 139   21.49      1  63        1         0
#> 127.1  3.53      1  62        0         1
#> 15    22.68      1  48        0         0
#> 68    20.62      1  44        0         0
#> 124    9.73      1  NA        1         0
#> 136   21.83      1  43        0         1
#> 194   22.40      1  38        0         1
#> 134.1 17.81      1  47        1         0
#> 85    16.44      1  36        0         0
#> 139.1 21.49      1  63        1         0
#> 52    10.42      1  52        0         1
#> 37.1  12.52      1  57        1         0
#> 169   22.41      1  46        0         0
#> 36.2  21.19      1  48        0         1
#> 56    12.21      1  60        0         0
#> 184.1 17.77      1  38        0         0
#> 13.2  14.34      1  54        0         1
#> 78.1  23.88      1  43        0         0
#> 180.1 14.82      1  37        0         0
#> 124.1  9.73      1  NA        1         0
#> 23    16.92      1  61        0         0
#> 113   22.86      1  34        0         0
#> 25     6.32      1  34        1         0
#> 187    9.92      1  39        1         0
#> 184.2 17.77      1  38        0         0
#> 107   11.18      1  54        1         0
#> 57.2  14.46      1  45        0         1
#> 130   16.47      1  53        0         1
#> 145.1 10.07      1  65        1         0
#> 164   23.60      1  76        0         1
#> 140   12.68      1  59        1         0
#> 55    19.34      1  69        0         1
#> 6.2   15.64      1  39        0         0
#> 61    10.12      1  36        0         1
#> 61.1  10.12      1  36        0         1
#> 155   13.08      1  26        0         0
#> 37.2  12.52      1  57        1         0
#> 114   13.68      1  NA        0         0
#> 50    10.02      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 52.1  10.42      1  52        0         1
#> 140.1 12.68      1  59        1         0
#> 77.1   7.27      1  67        0         1
#> 5.3   16.43      1  51        0         1
#> 114.1 13.68      1  NA        0         0
#> 183.1  9.24      1  67        1         0
#> 26.1  15.77      1  49        0         1
#> 149.1  8.37      1  33        1         0
#> 93    10.33      1  52        0         1
#> 40    18.00      1  28        1         0
#> 123.1 13.00      1  44        1         0
#> 192.1 16.44      1  31        1         0
#> 91     5.33      1  61        0         1
#> 180.2 14.82      1  37        0         0
#> 140.2 12.68      1  59        1         0
#> 167   15.55      1  56        1         0
#> 110.1 17.56      1  65        0         1
#> 66.1  22.13      1  53        0         0
#> 85.1  16.44      1  36        0         0
#> 164.1 23.60      1  76        0         1
#> 88.1  18.37      1  47        0         0
#> 33    24.00      0  53        0         0
#> 17    24.00      0  38        0         1
#> 2     24.00      0   9        0         0
#> 186   24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 160   24.00      0  31        1         0
#> 34    24.00      0  36        0         0
#> 103   24.00      0  56        1         0
#> 31    24.00      0  36        0         1
#> 160.1 24.00      0  31        1         0
#> 9     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 109   24.00      0  48        0         0
#> 118   24.00      0  44        1         0
#> 186.1 24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 161   24.00      0  45        0         0
#> 116   24.00      0  58        0         1
#> 67    24.00      0  25        0         0
#> 82.1  24.00      0  34        0         0
#> 9.1   24.00      0  31        1         0
#> 34.1  24.00      0  36        0         0
#> 1     24.00      0  23        1         0
#> 118.1 24.00      0  44        1         0
#> 141   24.00      0  44        1         0
#> 98    24.00      0  34        1         0
#> 65    24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 74    24.00      0  43        0         1
#> 144   24.00      0  28        0         1
#> 3     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 152   24.00      0  36        0         1
#> 64    24.00      0  43        0         0
#> 3.1   24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 198   24.00      0  66        0         1
#> 112   24.00      0  61        0         0
#> 62    24.00      0  71        0         0
#> 185   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 118.2 24.00      0  44        1         0
#> 137   24.00      0  45        1         0
#> 75    24.00      0  21        1         0
#> 116.2 24.00      0  58        0         1
#> 28.1  24.00      0  67        1         0
#> 65.1  24.00      0  57        1         0
#> 151.1 24.00      0  42        0         0
#> 147   24.00      0  76        1         0
#> 142   24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 28.2  24.00      0  67        1         0
#> 146   24.00      0  63        1         0
#> 156   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 84    24.00      0  39        0         1
#> 17.1  24.00      0  38        0         1
#> 46    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 67.1  24.00      0  25        0         0
#> 11    24.00      0  42        0         1
#> 3.2   24.00      0  31        1         0
#> 200   24.00      0  64        0         0
#> 174   24.00      0  49        1         0
#> 178   24.00      0  52        1         0
#> 118.3 24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 2.1   24.00      0   9        0         0
#> 144.1 24.00      0  28        0         1
#> 118.4 24.00      0  44        1         0
#> 54    24.00      0  53        1         0
#> 73    24.00      0  NA        0         1
#> 196   24.00      0  19        0         0
#> 118.5 24.00      0  44        1         0
#> 22    24.00      0  52        1         0
#> 144.2 24.00      0  28        0         1
#> 138   24.00      0  44        1         0
#> 82.2  24.00      0  34        0         0
#> 174.1 24.00      0  49        1         0
#> 178.1 24.00      0  52        1         0
#> 147.1 24.00      0  76        1         0
#> 87    24.00      0  27        0         0
#> 142.1 24.00      0  53        0         0
#> 146.1 24.00      0  63        1         0
#> 165.1 24.00      0  47        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.957         NA        NA      NA
#> 2 age, Cure model           0.0261        NA        NA      NA
#> 3 grade_ii, Cure model     -0.683         NA        NA      NA
#> 4 grade_iii, Cure model     0.567         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00367        NA        NA      NA
#> 2 grade_ii, Survival model   0.905          NA        NA      NA
#> 3 grade_iii, Survival model  0.262          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.95705           0.02614          -0.68328           0.56666  
#> 
#> Degrees of Freedom: 189 Total (i.e. Null);  186 Residual
#> Null Deviance:	    262 
#> Residual Deviance: 245.6 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       -0.9570452        0.0261401       -0.6832846        0.5666594 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.003670069      0.904677417      0.261879183 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.783275538 0.236123297 0.695324497 0.482513669 0.345815706 0.054331362
#>   [7] 0.323977008 0.939051339 0.519502934 0.538280910 0.415083735 0.984857578
#>  [13] 0.954350648 0.575766972 0.731291836 0.621752079 0.825379946 0.129861165
#>  [19] 0.731291836 0.445304668 0.667862178 0.667862178 0.923449748 0.280501111
#>  [25] 0.203904992 0.800493939 0.842142326 0.482513669 0.538280910 0.482513669
#>  [31] 0.621752079 0.594254892 0.640325561 0.783275538 0.203904992 0.009774927
#>  [37] 0.269531789 0.395146300 0.155015403 0.584999359 0.713609714 0.258650046
#>  [43] 0.640325561 0.899480898 0.302114874 0.066744830 0.731291836 0.365586196
#>  [49] 0.181498848 0.984857578 0.091390520 0.247348393 0.168313953 0.117076864
#>  [55] 0.345815706 0.445304668 0.181498848 0.858661692 0.800493939 0.104109793
#>  [61] 0.203904992 0.833752810 0.365586196 0.667862178 0.009774927 0.594254892
#>  [67] 0.425130897 0.078953135 0.969646012 0.915489797 0.365586196 0.850443195
#>  [73] 0.640325561 0.435225922 0.899480898 0.031524587 0.757724815 0.280501111
#>  [79] 0.538280910 0.883197660 0.883197660 0.704461705 0.800493939 0.858661692
#>  [85] 0.757724815 0.954350648 0.482513669 0.923449748 0.519502934 0.939051339
#>  [91] 0.874997124 0.335115014 0.713609714 0.445304668 0.977252941 0.594254892
#>  [97] 0.757724815 0.566395536 0.395146300 0.129861165 0.445304668 0.031524587
#> [103] 0.302114874 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>   177    90    60     5   134    69    51   149    26     6   117   127    77 
#> 12.53 20.94 13.15 16.43 17.81 23.23 18.23  8.37 15.77 15.64 17.46  3.53  7.27 
#>    29    14   133    42    66  14.1   192    13  13.1   183    58    36    37 
#> 15.45 12.89 14.65 12.43 22.13 12.89 16.44 14.34 14.34  9.24 19.34 21.19 12.52 
#>    49   5.1   6.1   5.2 133.1   180    57 177.1  36.1    78   105   110   175 
#> 12.19 16.43 15.64 16.43 14.65 14.82 14.46 12.53 21.19 23.88 19.75 17.56 21.91 
#>   157   123   158  57.1   145    88    92  14.2   184   139 127.1    15    68 
#> 15.10 13.00 20.14 14.46 10.07 18.37 22.92 12.89 17.77 21.49  3.53 22.68 20.62 
#>   136   194 134.1    85 139.1    52  37.1   169  36.2    56 184.1  13.2  78.1 
#> 21.83 22.40 17.81 16.44 21.49 10.42 12.52 22.41 21.19 12.21 17.77 14.34 23.88 
#> 180.1    23   113    25   187 184.2   107  57.2   130 145.1   164   140    55 
#> 14.82 16.92 22.86  6.32  9.92 17.77 11.18 14.46 16.47 10.07 23.60 12.68 19.34 
#>   6.2    61  61.1   155  37.2  52.1 140.1  77.1   5.3 183.1  26.1 149.1    93 
#> 15.64 10.12 10.12 13.08 12.52 10.42 12.68  7.27 16.43  9.24 15.77  8.37 10.33 
#>    40 123.1 192.1    91 180.2 140.2   167 110.1  66.1  85.1 164.1  88.1    33 
#> 18.00 13.00 16.44  5.33 14.82 12.68 15.55 17.56 22.13 16.44 23.60 18.37 24.00 
#>    17     2   186   143    47   148   160    34   103    31 160.1     9    71 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   109   118 186.1    28   161   116    67  82.1   9.1  34.1     1 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141    98    65 116.1    74   144     3    19   152    64   3.1   151   198 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112    62   185  64.1 118.2   137    75 116.2  28.1  65.1 151.1   147   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  28.2   146   156   165    84  17.1    46   119  67.1    11   3.2   200 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174   178 118.3    35   2.1 144.1 118.4    54   196 118.5    22 144.2   138 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.2 174.1 178.1 147.1    87 142.1 146.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[84]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00303838                0.72742471                0.42026624 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.16016944              0.01828237             -0.22006226 
#>   grade_iii, Cure model 
#>              1.36739635 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 30    17.43      1  78        0         0
#> 99    21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 159   10.55      1  50        0         1
#> 51    18.23      1  83        0         1
#> 78    23.88      1  43        0         0
#> 40    18.00      1  28        1         0
#> 188   16.16      1  46        0         1
#> 13    14.34      1  54        0         1
#> 145   10.07      1  65        1         0
#> 63    22.77      1  31        1         0
#> 171   16.57      1  41        0         1
#> 194   22.40      1  38        0         1
#> 91     5.33      1  61        0         1
#> 13.1  14.34      1  54        0         1
#> 86    23.81      1  58        0         1
#> 150   20.33      1  48        0         0
#> 128   20.35      1  35        0         1
#> 40.1  18.00      1  28        1         0
#> 183    9.24      1  67        1         0
#> 49    12.19      1  48        1         0
#> 105   19.75      1  60        0         0
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 90    20.94      1  50        0         1
#> 15    22.68      1  48        0         0
#> 100   16.07      1  60        0         0
#> 93    10.33      1  52        0         1
#> 180   14.82      1  37        0         0
#> 32    20.90      1  37        1         0
#> 180.1 14.82      1  37        0         0
#> 16     8.71      1  71        0         1
#> 91.1   5.33      1  61        0         1
#> 51.1  18.23      1  83        0         1
#> 15.1  22.68      1  48        0         0
#> 23    16.92      1  61        0         0
#> 79    16.23      1  54        1         0
#> 157   15.10      1  47        0         0
#> 179   18.63      1  42        0         0
#> 111   17.45      1  47        0         1
#> 78.1  23.88      1  43        0         0
#> 14    12.89      1  21        0         0
#> 127    3.53      1  62        0         1
#> 155   13.08      1  26        0         0
#> 24    23.89      1  38        0         0
#> 92    22.92      1  47        0         1
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 164.1 23.60      1  76        0         1
#> 124    9.73      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 197   21.60      1  69        1         0
#> 190   20.81      1  42        1         0
#> 111.1 17.45      1  47        0         1
#> 139   21.49      1  63        1         0
#> 93.1  10.33      1  52        0         1
#> 45    17.42      1  54        0         1
#> 164.2 23.60      1  76        0         1
#> 136   21.83      1  43        0         1
#> 86.1  23.81      1  58        0         1
#> 130   16.47      1  53        0         1
#> 60    13.15      1  38        1         0
#> 139.1 21.49      1  63        1         0
#> 26    15.77      1  49        0         1
#> 90.1  20.94      1  50        0         1
#> 91.2   5.33      1  61        0         1
#> 111.2 17.45      1  47        0         1
#> 6     15.64      1  39        0         0
#> 43    12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 90.2  20.94      1  50        0         1
#> 88    18.37      1  47        0         0
#> 45.1  17.42      1  54        0         1
#> 117   17.46      1  26        0         1
#> 8     18.43      1  32        0         0
#> 125.1 15.65      1  67        1         0
#> 57.1  14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 179.1 18.63      1  42        0         0
#> 171.1 16.57      1  41        0         1
#> 30.1  17.43      1  78        0         0
#> 24.1  23.89      1  38        0         0
#> 117.1 17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 199.1 19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 110   17.56      1  65        0         1
#> 188.1 16.16      1  46        0         1
#> 13.2  14.34      1  54        0         1
#> 50    10.02      1  NA        1         0
#> 91.3   5.33      1  61        0         1
#> 181   16.46      1  45        0         1
#> 90.3  20.94      1  50        0         1
#> 114.1 13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 136.1 21.83      1  43        0         1
#> 42    12.43      1  49        0         1
#> 145.1 10.07      1  65        1         0
#> 89    11.44      1  NA        0         0
#> 55    19.34      1  69        0         1
#> 39    15.59      1  37        0         1
#> 171.2 16.57      1  41        0         1
#> 199.2 19.81      1  NA        0         1
#> 99.1  21.19      1  38        0         1
#> 16.1   8.71      1  71        0         1
#> 140   12.68      1  59        1         0
#> 188.2 16.16      1  46        0         1
#> 183.1  9.24      1  67        1         0
#> 164.3 23.60      1  76        0         1
#> 90.4  20.94      1  50        0         1
#> 102   24.00      0  49        0         0
#> 65    24.00      0  57        1         0
#> 121   24.00      0  57        1         0
#> 47    24.00      0  38        0         1
#> 185   24.00      0  44        1         0
#> 182   24.00      0  35        0         0
#> 131   24.00      0  66        0         0
#> 173   24.00      0  19        0         1
#> 11    24.00      0  42        0         1
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 7     24.00      0  37        1         0
#> 148   24.00      0  61        1         0
#> 17    24.00      0  38        0         1
#> 151   24.00      0  42        0         0
#> 163   24.00      0  66        0         0
#> 141   24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 118   24.00      0  44        1         0
#> 141.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 75    24.00      0  21        1         0
#> 71    24.00      0  51        0         0
#> 67    24.00      0  25        0         0
#> 186   24.00      0  45        1         0
#> 118.1 24.00      0  44        1         0
#> 7.1   24.00      0  37        1         0
#> 72    24.00      0  40        0         1
#> 31    24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 17.1  24.00      0  38        0         1
#> 31.1  24.00      0  36        0         1
#> 84    24.00      0  39        0         1
#> 47.2  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 65.1  24.00      0  57        1         0
#> 172   24.00      0  41        0         0
#> 141.2 24.00      0  44        1         0
#> 172.1 24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 1     24.00      0  23        1         0
#> 118.2 24.00      0  44        1         0
#> 64    24.00      0  43        0         0
#> 2     24.00      0   9        0         0
#> 137   24.00      0  45        1         0
#> 122   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 20    24.00      0  46        1         0
#> 172.2 24.00      0  41        0         0
#> 186.1 24.00      0  45        1         0
#> 165   24.00      0  47        0         0
#> 28    24.00      0  67        1         0
#> 142   24.00      0  53        0         0
#> 65.2  24.00      0  57        1         0
#> 112.1 24.00      0  61        0         0
#> 161   24.00      0  45        0         0
#> 193   24.00      0  45        0         1
#> 9.1   24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 48    24.00      0  31        1         0
#> 95    24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 116   24.00      0  58        0         1
#> 65.3  24.00      0  57        1         0
#> 141.3 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 62    24.00      0  71        0         0
#> 131.1 24.00      0  66        0         0
#> 12    24.00      0  63        0         0
#> 162   24.00      0  51        0         0
#> 46    24.00      0  71        0         0
#> 27    24.00      0  63        1         0
#> 132.1 24.00      0  55        0         0
#> 20.2  24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 11.1  24.00      0  42        0         1
#> 21    24.00      0  47        0         0
#> 83    24.00      0   6        0         0
#> 131.2 24.00      0  66        0         0
#> 137.1 24.00      0  45        1         0
#> 144   24.00      0  28        0         1
#> 72.1  24.00      0  40        0         1
#> 126   24.00      0  48        0         0
#> 95.1  24.00      0  68        0         1
#> 109.1 24.00      0  48        0         0
#> 71.1  24.00      0  51        0         0
#> 22    24.00      0  52        1         0
#> 141.4 24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.16          NA        NA      NA
#> 2 age, Cure model           0.0183        NA        NA      NA
#> 3 grade_ii, Cure model     -0.220         NA        NA      NA
#> 4 grade_iii, Cure model     1.37          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00304        NA        NA      NA
#> 2 grade_ii, Survival model   0.727          NA        NA      NA
#> 3 grade_iii, Survival model  0.420          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.16017           0.01828          -0.22006           1.36740  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 239.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.16016944       0.01828237      -0.22006226       1.36739635 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00303838       0.72742471       0.42026624 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.54685004 0.28144493 0.75958667 0.94850464 0.94850464 0.87187154
#>   [7] 0.45596695 0.04542927 0.47497075 0.66011177 0.77593149 0.89526748
#>  [13] 0.17379733 0.60005153 0.21162456 0.96336473 0.77593149 0.07996694
#>  [19] 0.38877898 0.37921478 0.47497075 0.91830906 0.85610969 0.39837523
#>  [25] 0.70190499 0.11105590 0.30252280 0.18654563 0.68506242 0.87972114
#>  [31] 0.74312574 0.35009966 0.74312574 0.93343456 0.96336473 0.45596695
#>  [37] 0.18654563 0.58232002 0.65158216 0.73486875 0.41759207 0.52052402
#>  [43] 0.04542927 0.82425109 0.99261863 0.80816600 0.01478730 0.16016637
#>  [49] 0.84816145 0.11105590 0.59123784 0.24801686 0.35993829 0.52052402
#>  [55] 0.25979018 0.87972114 0.56466632 0.11105590 0.22428390 0.07996694
#>  [61] 0.62572282 0.80009746 0.25979018 0.69349964 0.30252280 0.96336473
#>  [67] 0.52052402 0.71834557 0.86400013 0.30252280 0.44628938 0.56466632
#>  [73] 0.50252864 0.43663967 0.70190499 0.75958667 0.81624067 0.41759207
#>  [79] 0.60005153 0.54685004 0.01478730 0.50252864 0.64296722 0.91062744
#>  [85] 0.49331353 0.66011177 0.77593149 0.96336473 0.63436423 0.30252280
#>  [91] 0.36956080 0.22428390 0.84022561 0.89526748 0.40801017 0.72662409
#>  [97] 0.60005153 0.28144493 0.93343456 0.83226633 0.66011177 0.91830906
#> [103] 0.11105590 0.30252280 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    30    99    57    70  70.1   159    51    78    40   188    13   145    63 
#> 17.43 21.19 14.46  7.38  7.38 10.55 18.23 23.88 18.00 16.16 14.34 10.07 22.77 
#>   171   194    91  13.1    86   150   128  40.1   183    49   105   125   164 
#> 16.57 22.40  5.33 14.34 23.81 20.33 20.35 18.00  9.24 12.19 19.75 15.65 23.60 
#>    90    15   100    93   180    32 180.1    16  91.1  51.1  15.1    23    79 
#> 20.94 22.68 16.07 10.33 14.82 20.90 14.82  8.71  5.33 18.23 22.68 16.92 16.23 
#>   157   179   111  78.1    14   127   155    24    92    56 164.1   106   197 
#> 15.10 18.63 17.45 23.88 12.89  3.53 13.08 23.89 22.92 12.21 23.60 16.67 21.60 
#>   190 111.1   139  93.1    45 164.2   136  86.1   130    60 139.1    26  90.1 
#> 20.81 17.45 21.49 10.33 17.42 23.60 21.83 23.81 16.47 13.15 21.49 15.77 20.94 
#>  91.2 111.2     6    43  90.2    88  45.1   117     8 125.1  57.1   123 179.1 
#>  5.33 17.45 15.64 12.10 20.94 18.37 17.42 17.46 18.43 15.65 14.46 13.00 18.63 
#> 171.1  30.1  24.1 117.1    85   101   110 188.1  13.2  91.3   181  90.3    68 
#> 16.57 17.43 23.89 17.46 16.44  9.97 17.56 16.16 14.34  5.33 16.46 20.94 20.62 
#> 136.1    42 145.1    55    39 171.2  99.1  16.1   140 188.2 183.1 164.3  90.4 
#> 21.83 12.43 10.07 19.34 15.59 16.57 21.19  8.71 12.68 16.16  9.24 23.60 20.94 
#>   102    65   121    47   185   182   131   173    11   178     9     7   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    17   151   163   141  47.1   118 141.1   112    75    71    67   186 118.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.1    72    31   109  17.1  31.1    84  47.2 151.1  65.1   172 141.2 172.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94     1 118.2    64     2   137   122   156    20 172.2 186.1   165    28 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   142  65.2 112.1   161   193   9.1   147    48    95  20.1   116  65.3 141.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   132    62 131.1    12   162    46    27 132.1  20.2    54  11.1    21    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.2 137.1   144  72.1   126  95.1 109.1  71.1    22 141.4 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[85]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.003504025               0.161607320               0.160286119 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.44452706              0.01703031              0.81802622 
#>   grade_iii, Cure model 
#>              1.57530277 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 145   10.07      1  65        1         0
#> 170   19.54      1  43        0         1
#> 140   12.68      1  59        1         0
#> 26    15.77      1  49        0         1
#> 188   16.16      1  46        0         1
#> 183    9.24      1  67        1         0
#> 177   12.53      1  75        0         0
#> 92    22.92      1  47        0         1
#> 85    16.44      1  36        0         0
#> 63    22.77      1  31        1         0
#> 63.1  22.77      1  31        1         0
#> 63.2  22.77      1  31        1         0
#> 55    19.34      1  69        0         1
#> 139   21.49      1  63        1         0
#> 189   10.51      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 37    12.52      1  57        1         0
#> 68    20.62      1  44        0         0
#> 55.1  19.34      1  69        0         1
#> 127    3.53      1  62        0         1
#> 23    16.92      1  61        0         0
#> 57    14.46      1  45        0         1
#> 149    8.37      1  33        1         0
#> 89    11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 114   13.68      1  NA        0         0
#> 139.1 21.49      1  63        1         0
#> 90    20.94      1  50        0         1
#> 52    10.42      1  52        0         1
#> 181   16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 14    12.89      1  21        0         0
#> 49    12.19      1  48        1         0
#> 164   23.60      1  76        0         1
#> 8     18.43      1  32        0         0
#> 175   21.91      1  43        0         0
#> 139.2 21.49      1  63        1         0
#> 117   17.46      1  26        0         1
#> 61    10.12      1  36        0         1
#> 187    9.92      1  39        1         0
#> 179   18.63      1  42        0         0
#> 90.1  20.94      1  50        0         1
#> 18    15.21      1  49        1         0
#> 91     5.33      1  61        0         1
#> 127.1  3.53      1  62        0         1
#> 41    18.02      1  40        1         0
#> 114.1 13.68      1  NA        0         0
#> 153   21.33      1  55        1         0
#> 4     17.64      1  NA        0         1
#> 43    12.10      1  61        0         1
#> 170.1 19.54      1  43        0         1
#> 59    10.16      1  NA        1         0
#> 100   16.07      1  60        0         0
#> 96    14.54      1  33        0         1
#> 107   11.18      1  54        1         0
#> 107.1 11.18      1  54        1         0
#> 158   20.14      1  74        1         0
#> 90.2  20.94      1  50        0         1
#> 99    21.19      1  38        0         1
#> 96.1  14.54      1  33        0         1
#> 158.1 20.14      1  74        1         0
#> 167   15.55      1  56        1         0
#> 195   11.76      1  NA        1         0
#> 37.1  12.52      1  57        1         0
#> 110   17.56      1  65        0         1
#> 127.2  3.53      1  62        0         1
#> 187.1  9.92      1  39        1         0
#> 192   16.44      1  31        1         0
#> 32.1  20.90      1  37        1         0
#> 36    21.19      1  48        0         1
#> 128   20.35      1  35        0         1
#> 90.3  20.94      1  50        0         1
#> 136   21.83      1  43        0         1
#> 50    10.02      1  NA        1         0
#> 100.1 16.07      1  60        0         0
#> 86.1  23.81      1  58        0         1
#> 158.2 20.14      1  74        1         0
#> 154   12.63      1  20        1         0
#> 111   17.45      1  47        0         1
#> 90.4  20.94      1  50        0         1
#> 61.1  10.12      1  36        0         1
#> 57.1  14.46      1  45        0         1
#> 127.3  3.53      1  62        0         1
#> 184   17.77      1  38        0         0
#> 117.1 17.46      1  26        0         1
#> 39    15.59      1  37        0         1
#> 171   16.57      1  41        0         1
#> 63.3  22.77      1  31        1         0
#> 79    16.23      1  54        1         0
#> 189.1 10.51      1  NA        1         0
#> 177.1 12.53      1  75        0         0
#> 40    18.00      1  28        1         0
#> 107.2 11.18      1  54        1         0
#> 159   10.55      1  50        0         1
#> 181.1 16.46      1  45        0         1
#> 184.1 17.77      1  38        0         0
#> 136.1 21.83      1  43        0         1
#> 63.4  22.77      1  31        1         0
#> 52.1  10.42      1  52        0         1
#> 41.1  18.02      1  40        1         0
#> 29    15.45      1  68        1         0
#> 127.4  3.53      1  62        0         1
#> 123   13.00      1  44        1         0
#> 177.2 12.53      1  75        0         0
#> 91.1   5.33      1  61        0         1
#> 197   21.60      1  69        1         0
#> 14.1  12.89      1  21        0         0
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 39.1  15.59      1  37        0         1
#> 140.1 12.68      1  59        1         0
#> 137   24.00      0  45        1         0
#> 118   24.00      0  44        1         0
#> 20    24.00      0  46        1         0
#> 1     24.00      0  23        1         0
#> 84    24.00      0  39        0         1
#> 146   24.00      0  63        1         0
#> 83    24.00      0   6        0         0
#> 74    24.00      0  43        0         1
#> 122   24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 103   24.00      0  56        1         0
#> 64    24.00      0  43        0         0
#> 137.1 24.00      0  45        1         0
#> 160   24.00      0  31        1         0
#> 186   24.00      0  45        1         0
#> 146.1 24.00      0  63        1         0
#> 73    24.00      0  NA        0         1
#> 172   24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 11    24.00      0  42        0         1
#> 103.1 24.00      0  56        1         0
#> 65    24.00      0  57        1         0
#> 67    24.00      0  25        0         0
#> 148   24.00      0  61        1         0
#> 116   24.00      0  58        0         1
#> 84.1  24.00      0  39        0         1
#> 172.1 24.00      0  41        0         0
#> 196   24.00      0  19        0         0
#> 137.2 24.00      0  45        1         0
#> 193   24.00      0  45        0         1
#> 73.1  24.00      0  NA        0         1
#> 31    24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 20.1  24.00      0  46        1         0
#> 65.1  24.00      0  57        1         0
#> 44    24.00      0  56        0         0
#> 156   24.00      0  50        1         0
#> 74.1  24.00      0  43        0         1
#> 80    24.00      0  41        0         0
#> 191   24.00      0  60        0         1
#> 146.2 24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 143   24.00      0  51        0         0
#> 148.1 24.00      0  61        1         0
#> 83.1  24.00      0   6        0         0
#> 27    24.00      0  63        1         0
#> 38    24.00      0  31        1         0
#> 116.1 24.00      0  58        0         1
#> 109   24.00      0  48        0         0
#> 84.2  24.00      0  39        0         1
#> 148.2 24.00      0  61        1         0
#> 67.1  24.00      0  25        0         0
#> 143.1 24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 132   24.00      0  55        0         0
#> 67.2  24.00      0  25        0         0
#> 87    24.00      0  27        0         0
#> 196.1 24.00      0  19        0         0
#> 33    24.00      0  53        0         0
#> 12    24.00      0  63        0         0
#> 112   24.00      0  61        0         0
#> 35    24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 98.2  24.00      0  34        1         0
#> 156.1 24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 102   24.00      0  49        0         0
#> 17    24.00      0  38        0         1
#> 67.3  24.00      0  25        0         0
#> 12.1  24.00      0  63        0         0
#> 120   24.00      0  68        0         1
#> 74.2  24.00      0  43        0         1
#> 11.1  24.00      0  42        0         1
#> 62    24.00      0  71        0         0
#> 72    24.00      0  40        0         1
#> 64.1  24.00      0  43        0         0
#> 109.1 24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 27.1  24.00      0  63        1         0
#> 33.1  24.00      0  53        0         0
#> 143.2 24.00      0  51        0         0
#> 152   24.00      0  36        0         1
#> 163   24.00      0  66        0         0
#> 83.2  24.00      0   6        0         0
#> 27.2  24.00      0  63        1         0
#> 98.3  24.00      0  34        1         0
#> 2     24.00      0   9        0         0
#> 46    24.00      0  71        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.44          NA        NA      NA
#> 2 age, Cure model           0.0170        NA        NA      NA
#> 3 grade_ii, Cure model      0.818         NA        NA      NA
#> 4 grade_iii, Cure model     1.58          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00350        NA        NA      NA
#> 2 grade_ii, Survival model   0.162          NA        NA      NA
#> 3 grade_iii, Survival model  0.160          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.44453           0.01703           0.81803           1.57530  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 240.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.44452706       0.01703031       0.81802622       1.57530277 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.003504025      0.161607320      0.160286119 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.91383851 0.45547490 0.77736041 0.67308508 0.64823001 0.93585220
#>   [7] 0.80075644 0.12902218 0.62306635 0.14572767 0.14572767 0.14572767
#>  [13] 0.47386259 0.25467657 0.36886101 0.05610145 0.82376143 0.38859472
#>  [19] 0.47386259 0.96490331 0.58898195 0.73790814 0.94316759 0.44604614
#>  [25] 0.25467657 0.32065307 0.88422511 0.60619573 0.40841961 0.76163504
#>  [31] 0.83904595 0.11144757 0.50098225 0.20446337 0.25467657 0.56303545
#>  [37] 0.89907225 0.92122320 0.49190394 0.32065307 0.71389903 0.95046489
#>  [43] 0.96490331 0.51004108 0.28777829 0.84669599 0.45547490 0.65658299
#>  [49] 0.72196966 0.85431480 0.85431480 0.41824825 0.32065307 0.29907295
#>  [55] 0.72196966 0.41824825 0.69763921 0.82376143 0.55424668 0.96490331
#>  [61] 0.92122320 0.62306635 0.36886101 0.29907295 0.39854747 0.32065307
#>  [67] 0.21771235 0.65658299 0.05610145 0.41824825 0.79294539 0.58032281
#>  [73] 0.32065307 0.89907225 0.73790814 0.96490331 0.53667747 0.56303545
#>  [79] 0.68134721 0.59761085 0.14572767 0.63983603 0.80075644 0.52777796
#>  [85] 0.85431480 0.87671842 0.60619573 0.53667747 0.21771235 0.14572767
#>  [91] 0.88422511 0.51004108 0.70579214 0.96490331 0.75371880 0.80075644
#>  [97] 0.95046489 0.24234813 0.76163504 0.02337882 0.09227510 0.68134721
#> [103] 0.77736041 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   145   170   140    26   188   183   177    92    85    63  63.1  63.2    55 
#> 10.07 19.54 12.68 15.77 16.16  9.24 12.53 22.92 16.44 22.77 22.77 22.77 19.34 
#>   139    32    86    37    68  55.1   127    23    57   149   166 139.1    90 
#> 21.49 20.90 23.81 12.52 20.62 19.34  3.53 16.92 14.46  8.37 19.98 21.49 20.94 
#>    52   181   150    14    49   164     8   175 139.2   117    61   187   179 
#> 10.42 16.46 20.33 12.89 12.19 23.60 18.43 21.91 21.49 17.46 10.12  9.92 18.63 
#>  90.1    18    91 127.1    41   153    43 170.1   100    96   107 107.1   158 
#> 20.94 15.21  5.33  3.53 18.02 21.33 12.10 19.54 16.07 14.54 11.18 11.18 20.14 
#>  90.2    99  96.1 158.1   167  37.1   110 127.2 187.1   192  32.1    36   128 
#> 20.94 21.19 14.54 20.14 15.55 12.52 17.56  3.53  9.92 16.44 20.90 21.19 20.35 
#>  90.3   136 100.1  86.1 158.2   154   111  90.4  61.1  57.1 127.3   184 117.1 
#> 20.94 21.83 16.07 23.81 20.14 12.63 17.45 20.94 10.12 14.46  3.53 17.77 17.46 
#>    39   171  63.3    79 177.1    40 107.2   159 181.1 184.1 136.1  63.4  52.1 
#> 15.59 16.57 22.77 16.23 12.53 18.00 11.18 10.55 16.46 17.77 21.83 22.77 10.42 
#>  41.1    29 127.4   123 177.2  91.1   197  14.1    24   168  39.1 140.1   137 
#> 18.02 15.45  3.53 13.00 12.53  5.33 21.60 12.89 23.89 23.72 15.59 12.68 24.00 
#>   118    20     1    84   146    83    74   122    98   103    64 137.1   160 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   186 146.1   172   162    11 103.1    65    67   148   116  84.1 172.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 137.2   193    31   182  20.1  65.1    44   156  74.1    80   191 146.2   104 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   143 148.1  83.1    27    38 116.1   109  84.2 148.2  67.1 143.1  31.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.2    87 196.1    33    12   112    35  98.1  98.2 156.1   131   102    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  67.3  12.1   120  74.2  11.1    62    72  64.1 109.1    75  27.1  33.1 143.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152   163  83.2  27.2  98.3     2    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[86]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01062233                0.70978667                0.44223944 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.65733481              0.01314944             -0.24328840 
#>   grade_iii, Cure model 
#>              1.11290945 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 61    10.12      1  36        0         1
#> 166   19.98      1  48        0         0
#> 181   16.46      1  45        0         1
#> 30    17.43      1  78        0         0
#> 76    19.22      1  54        0         1
#> 192   16.44      1  31        1         0
#> 58    19.34      1  39        0         0
#> 101    9.97      1  10        0         1
#> 26    15.77      1  49        0         1
#> 136   21.83      1  43        0         1
#> 197   21.60      1  69        1         0
#> 136.1 21.83      1  43        0         1
#> 24    23.89      1  38        0         0
#> 168   23.72      1  70        0         0
#> 192.1 16.44      1  31        1         0
#> 85    16.44      1  36        0         0
#> 179   18.63      1  42        0         0
#> 4     17.64      1  NA        0         1
#> 123   13.00      1  44        1         0
#> 157   15.10      1  47        0         0
#> 117   17.46      1  26        0         1
#> 123.1 13.00      1  44        1         0
#> 59    10.16      1  NA        1         0
#> 40    18.00      1  28        1         0
#> 13    14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 14    12.89      1  21        0         0
#> 56    12.21      1  60        0         0
#> 190   20.81      1  42        1         0
#> 6     15.64      1  39        0         0
#> 16     8.71      1  71        0         1
#> 96    14.54      1  33        0         1
#> 59.1  10.16      1  NA        1         0
#> 166.1 19.98      1  48        0         0
#> 111   17.45      1  47        0         1
#> 4.1   17.64      1  NA        0         1
#> 190.1 20.81      1  42        1         0
#> 56.1  12.21      1  60        0         0
#> 168.1 23.72      1  70        0         0
#> 96.1  14.54      1  33        0         1
#> 79    16.23      1  54        1         0
#> 16.1   8.71      1  71        0         1
#> 97    19.14      1  65        0         1
#> 5     16.43      1  51        0         1
#> 117.1 17.46      1  26        0         1
#> 123.2 13.00      1  44        1         0
#> 92    22.92      1  47        0         1
#> 194   22.40      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 50    10.02      1  NA        1         0
#> 24.1  23.89      1  38        0         0
#> 10    10.53      1  34        0         0
#> 192.2 16.44      1  31        1         0
#> 90    20.94      1  50        0         1
#> 25     6.32      1  34        1         0
#> 189   10.51      1  NA        1         0
#> 86    23.81      1  58        0         1
#> 93    10.33      1  52        0         1
#> 166.2 19.98      1  48        0         0
#> 190.2 20.81      1  42        1         0
#> 166.3 19.98      1  48        0         0
#> 167   15.55      1  56        1         0
#> 168.2 23.72      1  70        0         0
#> 50.1  10.02      1  NA        1         0
#> 105   19.75      1  60        0         0
#> 108   18.29      1  39        0         1
#> 175   21.91      1  43        0         0
#> 168.3 23.72      1  70        0         0
#> 125   15.65      1  67        1         0
#> 88    18.37      1  47        0         0
#> 89    11.44      1  NA        0         0
#> 190.3 20.81      1  42        1         0
#> 8     18.43      1  32        0         0
#> 159   10.55      1  50        0         1
#> 128   20.35      1  35        0         1
#> 66    22.13      1  53        0         0
#> 190.4 20.81      1  42        1         0
#> 164   23.60      1  76        0         1
#> 90.1  20.94      1  50        0         1
#> 85.1  16.44      1  36        0         0
#> 42    12.43      1  49        0         1
#> 139   21.49      1  63        1         0
#> 68    20.62      1  44        0         0
#> 171   16.57      1  41        0         1
#> 181.1 16.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 39    15.59      1  37        0         1
#> 170   19.54      1  43        0         1
#> 129   23.41      1  53        1         0
#> 39.1  15.59      1  37        0         1
#> 140   12.68      1  59        1         0
#> 42.1  12.43      1  49        0         1
#> 110   17.56      1  65        0         1
#> 41    18.02      1  40        1         0
#> 170.1 19.54      1  43        0         1
#> 158   20.14      1  74        1         0
#> 18.1  15.21      1  49        1         0
#> 130   16.47      1  53        0         1
#> 140.1 12.68      1  59        1         0
#> 40.1  18.00      1  28        1         0
#> 92.1  22.92      1  47        0         1
#> 136.2 21.83      1  43        0         1
#> 56.2  12.21      1  60        0         0
#> 140.2 12.68      1  59        1         0
#> 157.1 15.10      1  47        0         0
#> 171.1 16.57      1  41        0         1
#> 145   10.07      1  65        1         0
#> 108.1 18.29      1  39        0         1
#> 100   16.07      1  60        0         0
#> 123.3 13.00      1  44        1         0
#> 78    23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 165   24.00      0  47        0         0
#> 17    24.00      0  38        0         1
#> 31    24.00      0  36        0         1
#> 104   24.00      0  50        1         0
#> 54    24.00      0  53        1         0
#> 200   24.00      0  64        0         0
#> 142   24.00      0  53        0         0
#> 28    24.00      0  67        1         0
#> 33    24.00      0  53        0         0
#> 121   24.00      0  57        1         0
#> 1     24.00      0  23        1         0
#> 116   24.00      0  58        0         1
#> 182   24.00      0  35        0         0
#> 67    24.00      0  25        0         0
#> 31.1  24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 163   24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 38    24.00      0  31        1         0
#> 47    24.00      0  38        0         1
#> 22    24.00      0  52        1         0
#> 174   24.00      0  49        1         0
#> 82    24.00      0  34        0         0
#> 71    24.00      0  51        0         0
#> 1.1   24.00      0  23        1         0
#> 47.1  24.00      0  38        0         1
#> 115   24.00      0  NA        1         0
#> 71.1  24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 103   24.00      0  56        1         0
#> 126   24.00      0  48        0         0
#> 186   24.00      0  45        1         0
#> 116.1 24.00      0  58        0         1
#> 200.1 24.00      0  64        0         0
#> 119   24.00      0  17        0         0
#> 94    24.00      0  51        0         1
#> 165.1 24.00      0  47        0         0
#> 3     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 71.2  24.00      0  51        0         0
#> 65    24.00      0  57        1         0
#> 3.1   24.00      0  31        1         0
#> 185   24.00      0  44        1         0
#> 75    24.00      0  21        1         0
#> 103.1 24.00      0  56        1         0
#> 1.2   24.00      0  23        1         0
#> 172   24.00      0  41        0         0
#> 11    24.00      0  42        0         1
#> 174.1 24.00      0  49        1         0
#> 193   24.00      0  45        0         1
#> 54.1  24.00      0  53        1         0
#> 27    24.00      0  63        1         0
#> 143   24.00      0  51        0         0
#> 20    24.00      0  46        1         0
#> 48    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 102.1 24.00      0  49        0         0
#> 38.1  24.00      0  31        1         0
#> 102.2 24.00      0  49        0         0
#> 75.1  24.00      0  21        1         0
#> 138.1 24.00      0  44        1         0
#> 80    24.00      0  41        0         0
#> 198   24.00      0  66        0         1
#> 20.1  24.00      0  46        1         0
#> 176   24.00      0  43        0         1
#> 112   24.00      0  61        0         0
#> 65.1  24.00      0  57        1         0
#> 73    24.00      0  NA        0         1
#> 48.1  24.00      0  31        1         0
#> 121.1 24.00      0  57        1         0
#> 22.1  24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 196   24.00      0  19        0         0
#> 19    24.00      0  57        0         1
#> 200.2 24.00      0  64        0         0
#> 160   24.00      0  31        1         0
#> 165.2 24.00      0  47        0         0
#> 119.1 24.00      0  17        0         0
#> 174.2 24.00      0  49        1         0
#> 163.1 24.00      0  66        0         0
#> 62    24.00      0  71        0         0
#> 19.1  24.00      0  57        0         1
#> 103.2 24.00      0  56        1         0
#> 54.2  24.00      0  53        1         0
#> 17.1  24.00      0  38        0         1
#> 146   24.00      0  63        1         0
#> 9     24.00      0  31        1         0
#> 178   24.00      0  52        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.657         NA        NA      NA
#> 2 age, Cure model           0.0131        NA        NA      NA
#> 3 grade_ii, Cure model     -0.243         NA        NA      NA
#> 4 grade_iii, Cure model     1.11          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0106        NA        NA      NA
#> 2 grade_ii, Survival model    0.710         NA        NA      NA
#> 3 grade_iii, Survival model   0.442         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.65733           0.01315          -0.24329           1.11291  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 245.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.65733481       0.01314944      -0.24328840       1.11290945 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01062233       0.70978667       0.44223944 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.937759587 0.277198773 0.541311149 0.500113471 0.355512532 0.561870731
#>   [7] 0.345290388 0.958560909 0.641895394 0.116518942 0.145155982 0.116518942
#>  [13] 0.001965466 0.020838250 0.561870731 0.561870731 0.376093125 0.775329839
#>  [19] 0.723928631 0.469660384 0.775329839 0.439079039 0.764991019 0.165667645
#>  [25] 0.815292732 0.875892917 0.205371246 0.662465659 0.968915594 0.744486994
#>  [31] 0.277198773 0.489883510 0.205371246 0.875892917 0.020838250 0.744486994
#>  [37] 0.621428370 0.968915594 0.365771005 0.611209478 0.469660384 0.775329839
#>  [43] 0.068251305 0.086471027 0.165667645 0.001965466 0.916953973 0.561870731
#>  [49] 0.185428145 0.989632343 0.014597584 0.927350695 0.277198773 0.205371246
#>  [55] 0.277198773 0.693294506 0.020838250 0.315225398 0.407642241 0.106117881
#>  [61] 0.020838250 0.652180370 0.397025020 0.205371246 0.386518235 0.906592863
#>  [67] 0.258247718 0.096078119 0.205371246 0.048707612 0.185428145 0.561870731
#>  [73] 0.855641407 0.155425699 0.248759180 0.510462687 0.541311149 0.703597210
#>  [79] 0.672805400 0.325346007 0.058606044 0.672805400 0.825498010 0.855641407
#>  [85] 0.459356608 0.428569879 0.325346007 0.267710915 0.703597210 0.530945862
#>  [91] 0.825498010 0.439079039 0.068251305 0.116518942 0.875892917 0.825498010
#>  [97] 0.723928631 0.510462687 0.948161361 0.407642241 0.631622810 0.775329839
#> [103] 0.008784661 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    61   166   181    30    76   192    58   101    26   136   197 136.1    24 
#> 10.12 19.98 16.46 17.43 19.22 16.44 19.34  9.97 15.77 21.83 21.60 21.83 23.89 
#>   168 192.1    85   179   123   157   117 123.1    40    13    99    14    56 
#> 23.72 16.44 16.44 18.63 13.00 15.10 17.46 13.00 18.00 14.34 21.19 12.89 12.21 
#>   190     6    16    96 166.1   111 190.1  56.1 168.1  96.1    79  16.1    97 
#> 20.81 15.64  8.71 14.54 19.98 17.45 20.81 12.21 23.72 14.54 16.23  8.71 19.14 
#>     5 117.1 123.2    92   194  99.1  24.1    10 192.2    90    25    86    93 
#> 16.43 17.46 13.00 22.92 22.40 21.19 23.89 10.53 16.44 20.94  6.32 23.81 10.33 
#> 166.2 190.2 166.3   167 168.2   105   108   175 168.3   125    88 190.3     8 
#> 19.98 20.81 19.98 15.55 23.72 19.75 18.29 21.91 23.72 15.65 18.37 20.81 18.43 
#>   159   128    66 190.4   164  90.1  85.1    42   139    68   171 181.1    18 
#> 10.55 20.35 22.13 20.81 23.60 20.94 16.44 12.43 21.49 20.62 16.57 16.46 15.21 
#>    39   170   129  39.1   140  42.1   110    41 170.1   158  18.1   130 140.1 
#> 15.59 19.54 23.41 15.59 12.68 12.43 17.56 18.02 19.54 20.14 15.21 16.47 12.68 
#>  40.1  92.1 136.2  56.2 140.2 157.1 171.1   145 108.1   100 123.3    78   165 
#> 18.00 22.92 21.83 12.21 12.68 15.10 16.57 10.07 18.29 16.07 13.00 23.88 24.00 
#>    17    31   104    54   200   142    28    33   121     1   116   182    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1   109   163   138    38    47    22   174    82    71   1.1  47.1  71.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   102   103   126   186 116.1 200.1   119    94 165.1     3   151  71.2    65 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   3.1   185    75 103.1   1.2   172    11 174.1   193  54.1    27   143    20 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48     2 102.1  38.1 102.2  75.1 138.1    80   198  20.1   176   112  65.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1 121.1  22.1    34   196    19 200.2   160 165.2 119.1 174.2 163.1    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  19.1 103.2  54.2  17.1   146     9   178 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[87]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.006451547               0.737673132               0.533646911 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.55107917              0.01261155              0.11860577 
#>   grade_iii, Cure model 
#>              0.38439801 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 56    12.21      1  60        0         0
#> 25     6.32      1  34        1         0
#> 169   22.41      1  46        0         0
#> 181   16.46      1  45        0         1
#> 32    20.90      1  37        1         0
#> 81    14.06      1  34        0         0
#> 167   15.55      1  56        1         0
#> 197   21.60      1  69        1         0
#> 125   15.65      1  67        1         0
#> 164   23.60      1  76        0         1
#> 68    20.62      1  44        0         0
#> 61    10.12      1  36        0         1
#> 169.1 22.41      1  46        0         0
#> 140   12.68      1  59        1         0
#> 92    22.92      1  47        0         1
#> 24    23.89      1  38        0         0
#> 60    13.15      1  38        1         0
#> 16     8.71      1  71        0         1
#> 155   13.08      1  26        0         0
#> 184   17.77      1  38        0         0
#> 192   16.44      1  31        1         0
#> 41    18.02      1  40        1         0
#> 101    9.97      1  10        0         1
#> 40    18.00      1  28        1         0
#> 181.1 16.46      1  45        0         1
#> 150   20.33      1  48        0         0
#> 111   17.45      1  47        0         1
#> 8     18.43      1  32        0         0
#> 106   16.67      1  49        1         0
#> 24.1  23.89      1  38        0         0
#> 78    23.88      1  43        0         0
#> 49    12.19      1  48        1         0
#> 78.1  23.88      1  43        0         0
#> 107   11.18      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 130   16.47      1  53        0         1
#> 129   23.41      1  53        1         0
#> 29    15.45      1  68        1         0
#> 59    10.16      1  NA        1         0
#> 129.1 23.41      1  53        1         0
#> 101.1  9.97      1  10        0         1
#> 41.1  18.02      1  40        1         0
#> 88    18.37      1  47        0         0
#> 50    10.02      1  NA        1         0
#> 43    12.10      1  61        0         1
#> 130.1 16.47      1  53        0         1
#> 136   21.83      1  43        0         1
#> 97    19.14      1  65        0         1
#> 164.1 23.60      1  76        0         1
#> 57    14.46      1  45        0         1
#> 123   13.00      1  44        1         0
#> 68.1  20.62      1  44        0         0
#> 10    10.53      1  34        0         0
#> 190   20.81      1  42        1         0
#> 39    15.59      1  37        0         1
#> 100   16.07      1  60        0         0
#> 37    12.52      1  57        1         0
#> 50.1  10.02      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 111.1 17.45      1  47        0         1
#> 15    22.68      1  48        0         0
#> 32.1  20.90      1  37        1         0
#> 86    23.81      1  58        0         1
#> 130.2 16.47      1  53        0         1
#> 145   10.07      1  65        1         0
#> 30    17.43      1  78        0         0
#> 40.1  18.00      1  28        1         0
#> 136.1 21.83      1  43        0         1
#> 58    19.34      1  39        0         0
#> 16.1   8.71      1  71        0         1
#> 70     7.38      1  30        1         0
#> 106.1 16.67      1  49        1         0
#> 69    23.23      1  25        0         1
#> 63    22.77      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 97.1  19.14      1  65        0         1
#> 155.1 13.08      1  26        0         0
#> 140.1 12.68      1  59        1         0
#> 79    16.23      1  54        1         0
#> 55    19.34      1  69        0         1
#> 140.2 12.68      1  59        1         0
#> 88.1  18.37      1  47        0         0
#> 76    19.22      1  54        0         1
#> 88.2  18.37      1  47        0         0
#> 154   12.63      1  20        1         0
#> 97.2  19.14      1  65        0         1
#> 92.1  22.92      1  47        0         1
#> 158   20.14      1  74        1         0
#> 108   18.29      1  39        0         1
#> 10.1  10.53      1  34        0         0
#> 168   23.72      1  70        0         0
#> 134   17.81      1  47        1         0
#> 157   15.10      1  47        0         0
#> 57.2  14.46      1  45        0         1
#> 24.2  23.89      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 55.1  19.34      1  69        0         1
#> 195.1 11.76      1  NA        1         0
#> 93    10.33      1  52        0         1
#> 133   14.65      1  57        0         0
#> 127    3.53      1  62        0         1
#> 187    9.92      1  39        1         0
#> 177   12.53      1  75        0         0
#> 88.3  18.37      1  47        0         0
#> 145.1 10.07      1  65        1         0
#> 56.1  12.21      1  60        0         0
#> 52    10.42      1  52        0         1
#> 70.1   7.38      1  30        1         0
#> 149    8.37      1  33        1         0
#> 129.2 23.41      1  53        1         0
#> 189   10.51      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 102   24.00      0  49        0         0
#> 163   24.00      0  66        0         0
#> 182   24.00      0  35        0         0
#> 7     24.00      0  37        1         0
#> 46    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 31    24.00      0  36        0         1
#> 19    24.00      0  57        0         1
#> 82    24.00      0  34        0         0
#> 121   24.00      0  57        1         0
#> 102.1 24.00      0  49        0         0
#> 141   24.00      0  44        1         0
#> 185   24.00      0  44        1         0
#> 84.1  24.00      0  39        0         1
#> 174   24.00      0  49        1         0
#> 198   24.00      0  66        0         1
#> 98    24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 44    24.00      0  56        0         0
#> 22    24.00      0  52        1         0
#> 122   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 75    24.00      0  21        1         0
#> 73    24.00      0  NA        0         1
#> 47    24.00      0  38        0         1
#> 116   24.00      0  58        0         1
#> 137   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 146.1 24.00      0  63        1         0
#> 2     24.00      0   9        0         0
#> 143   24.00      0  51        0         0
#> 126   24.00      0  48        0         0
#> 1     24.00      0  23        1         0
#> 46.1  24.00      0  71        0         0
#> 174.1 24.00      0  49        1         0
#> 116.1 24.00      0  58        0         1
#> 83    24.00      0   6        0         0
#> 143.1 24.00      0  51        0         0
#> 31.1  24.00      0  36        0         1
#> 98.1  24.00      0  34        1         0
#> 20.1  24.00      0  46        1         0
#> 3     24.00      0  31        1         0
#> 142   24.00      0  53        0         0
#> 191   24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 165   24.00      0  47        0         0
#> 191.1 24.00      0  60        0         1
#> 141.1 24.00      0  44        1         0
#> 112   24.00      0  61        0         0
#> 7.1   24.00      0  37        1         0
#> 196   24.00      0  19        0         0
#> 62    24.00      0  71        0         0
#> 119   24.00      0  17        0         0
#> 34    24.00      0  36        0         0
#> 161   24.00      0  45        0         0
#> 7.2   24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 115   24.00      0  NA        1         0
#> 193.1 24.00      0  45        0         1
#> 152   24.00      0  36        0         1
#> 109   24.00      0  48        0         0
#> 44.1  24.00      0  56        0         0
#> 138   24.00      0  44        1         0
#> 137.1 24.00      0  45        1         0
#> 9     24.00      0  31        1         0
#> 75.1  24.00      0  21        1         0
#> 144   24.00      0  28        0         1
#> 84.2  24.00      0  39        0         1
#> 103   24.00      0  56        1         0
#> 120   24.00      0  68        0         1
#> 19.1  24.00      0  57        0         1
#> 121.1 24.00      0  57        1         0
#> 141.2 24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 64    24.00      0  43        0         0
#> 94    24.00      0  51        0         1
#> 172   24.00      0  41        0         0
#> 46.2  24.00      0  71        0         0
#> 138.1 24.00      0  44        1         0
#> 74    24.00      0  43        0         1
#> 34.1  24.00      0  36        0         0
#> 74.1  24.00      0  43        0         1
#> 27    24.00      0  63        1         0
#> 31.2  24.00      0  36        0         1
#> 138.2 24.00      0  44        1         0
#> 173   24.00      0  19        0         1
#> 118   24.00      0  44        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.551         NA        NA      NA
#> 2 age, Cure model           0.0126        NA        NA      NA
#> 3 grade_ii, Cure model      0.119         NA        NA      NA
#> 4 grade_iii, Cure model     0.384         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00645        NA        NA      NA
#> 2 grade_ii, Survival model   0.738          NA        NA      NA
#> 3 grade_iii, Survival model  0.534          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.55108           0.01261           0.11861           0.38440  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 260.1 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.55107917       0.01261155       0.11860577       0.38439801 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.006451547      0.737673132      0.533646911 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.82056712 0.98423850 0.20744508 0.58719707 0.26085333 0.71910465
#>   [7] 0.64955718 0.25022649 0.63185568 0.09233103 0.29052295 0.89546257
#>  [13] 0.20744508 0.77049788 0.16431322 0.01053816 0.72780699 0.94434872
#>  [19] 0.74484982 0.50474328 0.60512647 0.45729045 0.92008591 0.47661442
#>  [25] 0.58719707 0.31025379 0.51415292 0.39831441 0.54200964 0.01053816
#>  [31] 0.03781960 0.83727564 0.03781960 0.85396650 0.56028478 0.11947061
#>  [37] 0.65833245 0.11947061 0.92008591 0.45729045 0.40819483 0.84562727
#>  [43] 0.56028478 0.22912640 0.36953222 0.09233103 0.68463169 0.76195310
#>  [49] 0.29052295 0.86226716 0.28065291 0.64072740 0.62293925 0.81222471
#>  [55] 0.68463169 0.51415292 0.19660526 0.26085333 0.06346767 0.56028478
#>  [61] 0.90373280 0.53262645 0.47661442 0.22912640 0.33038886 0.94434872
#>  [67] 0.96844564 0.54200964 0.15272143 0.18592240 0.72780699 0.36953222
#>  [73] 0.74484982 0.77049788 0.61406360 0.33038886 0.77049788 0.40819483
#>  [79] 0.35958171 0.40819483 0.79549619 0.36953222 0.16431322 0.32036833
#>  [85] 0.44726059 0.86226716 0.07740855 0.49537164 0.66706714 0.68463169
#>  [91] 0.01053816 0.33038886 0.88716539 0.67583186 0.99212373 0.93626688
#>  [97] 0.80384376 0.40819483 0.90373280 0.82056712 0.87885117 0.96844564
#> [103] 0.96042175 0.11947061 0.71042301 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    56    25   169   181    32    81   167   197   125   164    68    61 169.1 
#> 12.21  6.32 22.41 16.46 20.90 14.06 15.55 21.60 15.65 23.60 20.62 10.12 22.41 
#>   140    92    24    60    16   155   184   192    41   101    40 181.1   150 
#> 12.68 22.92 23.89 13.15  8.71 13.08 17.77 16.44 18.02  9.97 18.00 16.46 20.33 
#>   111     8   106  24.1    78    49  78.1   107   130   129    29 129.1 101.1 
#> 17.45 18.43 16.67 23.89 23.88 12.19 23.88 11.18 16.47 23.41 15.45 23.41  9.97 
#>  41.1    88    43 130.1   136    97 164.1    57   123  68.1    10   190    39 
#> 18.02 18.37 12.10 16.47 21.83 19.14 23.60 14.46 13.00 20.62 10.53 20.81 15.59 
#>   100    37  57.1 111.1    15  32.1    86 130.2   145    30  40.1 136.1    58 
#> 16.07 12.52 14.46 17.45 22.68 20.90 23.81 16.47 10.07 17.43 18.00 21.83 19.34 
#>  16.1    70 106.1    69    63  60.1  97.1 155.1 140.1    79    55 140.2  88.1 
#>  8.71  7.38 16.67 23.23 22.77 13.15 19.14 13.08 12.68 16.23 19.34 12.68 18.37 
#>    76  88.2   154  97.2  92.1   158   108  10.1   168   134   157  57.2  24.2 
#> 19.22 18.37 12.63 19.14 22.92 20.14 18.29 10.53 23.72 17.81 15.10 14.46 23.89 
#>  55.1    93   133   127   187   177  88.3 145.1  56.1    52  70.1   149 129.2 
#> 19.34 10.33 14.65  3.53  9.92 12.53 18.37 10.07 12.21 10.42  7.38  8.37 23.41 
#>    13   102   163   182     7    46    84    31    19    82   121 102.1   141 
#> 14.34 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185  84.1   174   198    98    20    44    22   122   146  82.1    75    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   116   137   162 146.1     2   143   126     1  46.1 174.1 116.1    83 143.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  31.1  98.1  20.1     3   142   191    65   165 191.1 141.1   112   7.1   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    62   119    34   161   7.2   193 193.1   152   109  44.1   138 137.1     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  75.1   144  84.2   103   120  19.1 121.1 141.2   104    64    94   172  46.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 138.1    74  34.1  74.1    27  31.2 138.2   173   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[88]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01197838                1.05243939                0.69982911 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.97242228              0.02400026             -0.32973675 
#>   grade_iii, Cure model 
#>              0.33043035 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 93    10.33      1  52        0         1
#> 166   19.98      1  48        0         0
#> 187    9.92      1  39        1         0
#> 154   12.63      1  20        1         0
#> 171   16.57      1  41        0         1
#> 136   21.83      1  43        0         1
#> 169   22.41      1  46        0         0
#> 23    16.92      1  61        0         0
#> 101    9.97      1  10        0         1
#> 6     15.64      1  39        0         0
#> 114   13.68      1  NA        0         0
#> 170   19.54      1  43        0         1
#> 23.1  16.92      1  61        0         0
#> 140   12.68      1  59        1         0
#> 81    14.06      1  34        0         0
#> 195   11.76      1  NA        1         0
#> 125   15.65      1  67        1         0
#> 149    8.37      1  33        1         0
#> 164   23.60      1  76        0         1
#> 59    10.16      1  NA        1         0
#> 23.2  16.92      1  61        0         0
#> 57    14.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 106   16.67      1  49        1         0
#> 166.1 19.98      1  48        0         0
#> 91     5.33      1  61        0         1
#> 81.1  14.06      1  34        0         0
#> 24    23.89      1  38        0         0
#> 77     7.27      1  67        0         1
#> 8     18.43      1  32        0         0
#> 164.1 23.60      1  76        0         1
#> 66    22.13      1  53        0         0
#> 149.1  8.37      1  33        1         0
#> 55    19.34      1  69        0         1
#> 197   21.60      1  69        1         0
#> 6.1   15.64      1  39        0         0
#> 24.1  23.89      1  38        0         0
#> 199   19.81      1  NA        0         1
#> 114.1 13.68      1  NA        0         0
#> 90    20.94      1  50        0         1
#> 89    11.44      1  NA        0         0
#> 197.1 21.60      1  69        1         0
#> 88    18.37      1  47        0         0
#> 79    16.23      1  54        1         0
#> 43    12.10      1  61        0         1
#> 164.2 23.60      1  76        0         1
#> 91.1   5.33      1  61        0         1
#> 140.1 12.68      1  59        1         0
#> 106.1 16.67      1  49        1         0
#> 45    17.42      1  54        0         1
#> 30    17.43      1  78        0         0
#> 57.1  14.46      1  45        0         1
#> 107   11.18      1  54        1         0
#> 14    12.89      1  21        0         0
#> 167   15.55      1  56        1         0
#> 58    19.34      1  39        0         0
#> 108   18.29      1  39        0         1
#> 90.1  20.94      1  50        0         1
#> 140.2 12.68      1  59        1         0
#> 30.1  17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 106.2 16.67      1  49        1         0
#> 78    23.88      1  43        0         0
#> 110   17.56      1  65        0         1
#> 154.1 12.63      1  20        1         0
#> 130   16.47      1  53        0         1
#> 110.1 17.56      1  65        0         1
#> 159   10.55      1  50        0         1
#> 194   22.40      1  38        0         1
#> 189   10.51      1  NA        1         0
#> 114.2 13.68      1  NA        0         0
#> 68    20.62      1  44        0         0
#> 128   20.35      1  35        0         1
#> 129   23.41      1  53        1         0
#> 153   21.33      1  55        1         0
#> 105.1 19.75      1  60        0         0
#> 117   17.46      1  26        0         1
#> 105.2 19.75      1  60        0         0
#> 199.1 19.81      1  NA        0         1
#> 199.2 19.81      1  NA        0         1
#> 13    14.34      1  54        0         1
#> 40    18.00      1  28        1         0
#> 89.1  11.44      1  NA        0         0
#> 93.1  10.33      1  52        0         1
#> 8.1   18.43      1  32        0         0
#> 32    20.90      1  37        1         0
#> 36    21.19      1  48        0         1
#> 127    3.53      1  62        0         1
#> 24.2  23.89      1  38        0         0
#> 36.1  21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 59.1  10.16      1  NA        1         0
#> 99    21.19      1  38        0         1
#> 199.3 19.81      1  NA        0         1
#> 78.1  23.88      1  43        0         0
#> 97    19.14      1  65        0         1
#> 49    12.19      1  48        1         0
#> 26    15.77      1  49        0         1
#> 107.1 11.18      1  54        1         0
#> 113.1 22.86      1  34        0         0
#> 36.2  21.19      1  48        0         1
#> 145   10.07      1  65        1         0
#> 101.1  9.97      1  10        0         1
#> 124    9.73      1  NA        1         0
#> 52    10.42      1  52        0         1
#> 110.2 17.56      1  65        0         1
#> 123   13.00      1  44        1         0
#> 140.3 12.68      1  59        1         0
#> 188   16.16      1  46        0         1
#> 150   20.33      1  48        0         0
#> 6.2   15.64      1  39        0         0
#> 153.1 21.33      1  55        1         0
#> 186   24.00      0  45        1         0
#> 98    24.00      0  34        1         0
#> 160   24.00      0  31        1         0
#> 83    24.00      0   6        0         0
#> 64    24.00      0  43        0         0
#> 1     24.00      0  23        1         0
#> 31    24.00      0  36        0         1
#> 176   24.00      0  43        0         1
#> 9     24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 152   24.00      0  36        0         1
#> 115   24.00      0  NA        1         0
#> 186.1 24.00      0  45        1         0
#> 35    24.00      0  51        0         0
#> 120   24.00      0  68        0         1
#> 67    24.00      0  25        0         0
#> 196   24.00      0  19        0         0
#> 3     24.00      0  31        1         0
#> 138   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 126   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 137   24.00      0  45        1         0
#> 160.1 24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 19    24.00      0  57        0         1
#> 65    24.00      0  57        1         0
#> 120.1 24.00      0  68        0         1
#> 1.1   24.00      0  23        1         0
#> 54    24.00      0  53        1         0
#> 65.1  24.00      0  57        1         0
#> 71    24.00      0  51        0         0
#> 47    24.00      0  38        0         1
#> 120.2 24.00      0  68        0         1
#> 198   24.00      0  66        0         1
#> 144   24.00      0  28        0         1
#> 21    24.00      0  47        0         0
#> 21.1  24.00      0  47        0         0
#> 144.1 24.00      0  28        0         1
#> 162   24.00      0  51        0         0
#> 82    24.00      0  34        0         0
#> 3.1   24.00      0  31        1         0
#> 46    24.00      0  71        0         0
#> 198.1 24.00      0  66        0         1
#> 200   24.00      0  64        0         0
#> 3.2   24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 104   24.00      0  50        1         0
#> 162.1 24.00      0  51        0         0
#> 176.1 24.00      0  43        0         1
#> 144.2 24.00      0  28        0         1
#> 109   24.00      0  48        0         0
#> 198.2 24.00      0  66        0         1
#> 9.1   24.00      0  31        1         0
#> 67.1  24.00      0  25        0         0
#> 132   24.00      0  55        0         0
#> 138.1 24.00      0  44        1         0
#> 146.1 24.00      0  63        1         0
#> 160.2 24.00      0  31        1         0
#> 109.1 24.00      0  48        0         0
#> 53    24.00      0  32        0         1
#> 103.1 24.00      0  56        1         0
#> 178   24.00      0  52        1         0
#> 94    24.00      0  51        0         1
#> 147   24.00      0  76        1         0
#> 142   24.00      0  53        0         0
#> 27    24.00      0  63        1         0
#> 31.1  24.00      0  36        0         1
#> 109.2 24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 53.1  24.00      0  32        0         1
#> 115.1 24.00      0  NA        1         0
#> 174   24.00      0  49        1         0
#> 84    24.00      0  39        0         1
#> 191   24.00      0  60        0         1
#> 119.1 24.00      0  17        0         0
#> 21.2  24.00      0  47        0         0
#> 83.1  24.00      0   6        0         0
#> 137.1 24.00      0  45        1         0
#> 34    24.00      0  36        0         0
#> 196.1 24.00      0  19        0         0
#> 151   24.00      0  42        0         0
#> 104.1 24.00      0  50        1         0
#> 185   24.00      0  44        1         0
#> 73    24.00      0  NA        0         1
#> 193   24.00      0  45        0         1
#> 156   24.00      0  50        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.972         NA        NA      NA
#> 2 age, Cure model           0.0240        NA        NA      NA
#> 3 grade_ii, Cure model     -0.330         NA        NA      NA
#> 4 grade_iii, Cure model     0.330         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0120        NA        NA      NA
#> 2 grade_ii, Survival model    1.05          NA        NA      NA
#> 3 grade_iii, Survival model   0.700         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          -0.9724            0.0240           -0.3297            0.3304  
#> 
#> Degrees of Freedom: 182 Total (i.e. Null);  179 Residual
#> Null Deviance:	    252.8 
#> Residual Deviance: 243.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.97242228       0.02400026      -0.32973675       0.33043035 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01197838       1.05243939       0.69982911 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.886077435 0.287132282 0.934469674 0.796850149 0.574742282 0.136209672
#>   [7] 0.100669817 0.509644443 0.915351037 0.638983217 0.338052843 0.509644443
#>  [13] 0.755984725 0.713335046 0.628383195 0.944000436 0.039986839 0.509644443
#>  [19] 0.681552636 0.307087991 0.542771263 0.287132282 0.971981373 0.713335046
#>  [25] 0.004334045 0.962618171 0.380562625 0.039986839 0.124122470 0.944000436
#>  [31] 0.348639024 0.148083867 0.638983217 0.004334045 0.228512250 0.148083867
#>  [37] 0.402163838 0.596355967 0.836886689 0.039986839 0.971981373 0.755984725
#>  [43] 0.542771263 0.498730178 0.477115057 0.681552636 0.846847426 0.745311366
#>  [49] 0.670840826 0.348639024 0.413243382 0.228512250 0.755984725 0.477115057
#>  [55] 0.079290207 0.542771263 0.020967133 0.434956775 0.796850149 0.585555816
#>  [61] 0.434956775 0.866422779 0.112564695 0.257761195 0.267578129 0.068800007
#>  [67] 0.170031798 0.307087991 0.466478273 0.307087991 0.702692947 0.424245671
#>  [73] 0.886077435 0.380562625 0.248095096 0.190698210 0.990628451 0.004334045
#>  [79] 0.190698210 0.816898502 0.190698210 0.020967133 0.369801715 0.826929554
#>  [85] 0.617732174 0.846847426 0.079290207 0.190698210 0.905580002 0.915351037
#>  [91] 0.876254514 0.434956775 0.734671895 0.755984725 0.607059166 0.277279826
#>  [97] 0.638983217 0.170031798 0.000000000 0.000000000 0.000000000 0.000000000
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    93   166   187   154   171   136   169    23   101     6   170  23.1   140 
#> 10.33 19.98  9.92 12.63 16.57 21.83 22.41 16.92  9.97 15.64 19.54 16.92 12.68 
#>    81   125   149   164  23.2    57   105   106 166.1    91  81.1    24    77 
#> 14.06 15.65  8.37 23.60 16.92 14.46 19.75 16.67 19.98  5.33 14.06 23.89  7.27 
#>     8 164.1    66 149.1    55   197   6.1  24.1    90 197.1    88    79    43 
#> 18.43 23.60 22.13  8.37 19.34 21.60 15.64 23.89 20.94 21.60 18.37 16.23 12.10 
#> 164.2  91.1 140.1 106.1    45    30  57.1   107    14   167    58   108  90.1 
#> 23.60  5.33 12.68 16.67 17.42 17.43 14.46 11.18 12.89 15.55 19.34 18.29 20.94 
#> 140.2  30.1   113 106.2    78   110 154.1   130 110.1   159   194    68   128 
#> 12.68 17.43 22.86 16.67 23.88 17.56 12.63 16.47 17.56 10.55 22.40 20.62 20.35 
#>   129   153 105.1   117 105.2    13    40  93.1   8.1    32    36   127  24.2 
#> 23.41 21.33 19.75 17.46 19.75 14.34 18.00 10.33 18.43 20.90 21.19  3.53 23.89 
#>  36.1    37    99  78.1    97    49    26 107.1 113.1  36.2   145 101.1    52 
#> 21.19 12.52 21.19 23.88 19.14 12.19 15.77 11.18 22.86 21.19 10.07  9.97 10.42 
#> 110.2   123 140.3   188   150   6.2 153.1   186    98   160    83    64     1 
#> 17.56 13.00 12.68 16.16 20.33 15.64 21.33 24.00 24.00 24.00 24.00 24.00 24.00 
#>    31   176     9   146   152 186.1    35   120    67   196     3   138   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   126   119   137 160.1   112    19    65 120.1   1.1    54  65.1    71    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.2   198   144    21  21.1 144.1   162    82   3.1    46 198.1   200   3.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    22   103   104 162.1 176.1 144.2   109 198.2   9.1  67.1   132 138.1 146.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 160.2 109.1    53 103.1   178    94   147   142    27  31.1 109.2    72  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   174    84   191 119.1  21.2  83.1 137.1    34 196.1   151 104.1   185   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   156 
#> 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[89]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.004217649               0.710750429               0.377312454 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             0.064720085            -0.003914964             0.215507757 
#>   grade_iii, Cure model 
#>             0.684409830 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 99    21.19      1  38        0         1
#> 99.1  21.19      1  38        0         1
#> 194   22.40      1  38        0         1
#> 180   14.82      1  37        0         0
#> 168   23.72      1  70        0         0
#> 81    14.06      1  34        0         0
#> 159   10.55      1  50        0         1
#> 184   17.77      1  38        0         0
#> 36    21.19      1  48        0         1
#> 166   19.98      1  48        0         0
#> 130   16.47      1  53        0         1
#> 189   10.51      1  NA        1         0
#> 168.1 23.72      1  70        0         0
#> 155   13.08      1  26        0         0
#> 199   19.81      1  NA        0         1
#> 127    3.53      1  62        0         1
#> 37    12.52      1  57        1         0
#> 90    20.94      1  50        0         1
#> 23    16.92      1  61        0         0
#> 25     6.32      1  34        1         0
#> 45    17.42      1  54        0         1
#> 30    17.43      1  78        0         0
#> 42    12.43      1  49        0         1
#> 167   15.55      1  56        1         0
#> 41    18.02      1  40        1         0
#> 190   20.81      1  42        1         0
#> 90.1  20.94      1  50        0         1
#> 6     15.64      1  39        0         0
#> 166.1 19.98      1  48        0         0
#> 127.1  3.53      1  62        0         1
#> 101    9.97      1  10        0         1
#> 134   17.81      1  47        1         0
#> 140   12.68      1  59        1         0
#> 96    14.54      1  33        0         1
#> 52    10.42      1  52        0         1
#> 30.1  17.43      1  78        0         0
#> 106   16.67      1  49        1         0
#> 45.1  17.42      1  54        0         1
#> 192   16.44      1  31        1         0
#> 56    12.21      1  60        0         0
#> 96.1  14.54      1  33        0         1
#> 130.1 16.47      1  53        0         1
#> 40    18.00      1  28        1         0
#> 187    9.92      1  39        1         0
#> 24    23.89      1  38        0         0
#> 49    12.19      1  48        1         0
#> 167.1 15.55      1  56        1         0
#> 192.1 16.44      1  31        1         0
#> 125   15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 199.1 19.81      1  NA        0         1
#> 30.2  17.43      1  78        0         0
#> 189.1 10.51      1  NA        1         0
#> 32    20.90      1  37        1         0
#> 157   15.10      1  47        0         0
#> 92    22.92      1  47        0         1
#> 149    8.37      1  33        1         0
#> 49.1  12.19      1  48        1         0
#> 68    20.62      1  44        0         0
#> 170   19.54      1  43        0         1
#> 70     7.38      1  30        1         0
#> 10    10.53      1  34        0         0
#> 45.2  17.42      1  54        0         1
#> 24.1  23.89      1  38        0         0
#> 114   13.68      1  NA        0         0
#> 136   21.83      1  43        0         1
#> 167.2 15.55      1  56        1         0
#> 105   19.75      1  60        0         0
#> 45.3  17.42      1  54        0         1
#> 4     17.64      1  NA        0         1
#> 60    13.15      1  38        1         0
#> 125.1 15.65      1  67        1         0
#> 133   14.65      1  57        0         0
#> 49.2  12.19      1  48        1         0
#> 166.2 19.98      1  48        0         0
#> 13    14.34      1  54        0         1
#> 90.2  20.94      1  50        0         1
#> 188   16.16      1  46        0         1
#> 45.4  17.42      1  54        0         1
#> 39    15.59      1  37        0         1
#> 108   18.29      1  39        0         1
#> 197   21.60      1  69        1         0
#> 105.1 19.75      1  60        0         0
#> 52.1  10.42      1  52        0         1
#> 10.1  10.53      1  34        0         0
#> 18    15.21      1  49        1         0
#> 167.3 15.55      1  56        1         0
#> 123   13.00      1  44        1         0
#> 111   17.45      1  47        0         1
#> 130.2 16.47      1  53        0         1
#> 190.1 20.81      1  42        1         0
#> 181   16.46      1  45        0         1
#> 77     7.27      1  67        0         1
#> 56.1  12.21      1  60        0         0
#> 26    15.77      1  49        0         1
#> 159.1 10.55      1  50        0         1
#> 18.1  15.21      1  49        1         0
#> 158   20.14      1  74        1         0
#> 78    23.88      1  43        0         0
#> 93    10.33      1  52        0         1
#> 179   18.63      1  42        0         0
#> 117   17.46      1  26        0         1
#> 170.1 19.54      1  43        0         1
#> 55    19.34      1  69        0         1
#> 145   10.07      1  65        1         0
#> 129   23.41      1  53        1         0
#> 59    10.16      1  NA        1         0
#> 101.1  9.97      1  10        0         1
#> 158.1 20.14      1  74        1         0
#> 194.1 22.40      1  38        0         1
#> 149.1  8.37      1  33        1         0
#> 136.1 21.83      1  43        0         1
#> 44    24.00      0  56        0         0
#> 35    24.00      0  51        0         0
#> 53    24.00      0  32        0         1
#> 82    24.00      0  34        0         0
#> 120   24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 122   24.00      0  66        0         0
#> 19    24.00      0  57        0         1
#> 74    24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 34    24.00      0  36        0         0
#> 161.1 24.00      0  45        0         0
#> 74.1  24.00      0  43        0         1
#> 35.1  24.00      0  51        0         0
#> 84    24.00      0  39        0         1
#> 98    24.00      0  34        1         0
#> 20    24.00      0  46        1         0
#> 47.1  24.00      0  38        0         1
#> 191   24.00      0  60        0         1
#> 200   24.00      0  64        0         0
#> 95    24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 31    24.00      0  36        0         1
#> 120.1 24.00      0  68        0         1
#> 20.1  24.00      0  46        1         0
#> 185   24.00      0  44        1         0
#> 122.1 24.00      0  66        0         0
#> 200.1 24.00      0  64        0         0
#> 22    24.00      0  52        1         0
#> 122.2 24.00      0  66        0         0
#> 1     24.00      0  23        1         0
#> 137   24.00      0  45        1         0
#> 28    24.00      0  67        1         0
#> 71    24.00      0  51        0         0
#> 74.2  24.00      0  43        0         1
#> 122.3 24.00      0  66        0         0
#> 142   24.00      0  53        0         0
#> 47.2  24.00      0  38        0         1
#> 48    24.00      0  31        1         0
#> 132   24.00      0  55        0         0
#> 103   24.00      0  56        1         0
#> 95.1  24.00      0  68        0         1
#> 163   24.00      0  66        0         0
#> 137.1 24.00      0  45        1         0
#> 143   24.00      0  51        0         0
#> 102   24.00      0  49        0         0
#> 146   24.00      0  63        1         0
#> 193   24.00      0  45        0         1
#> 38    24.00      0  31        1         0
#> 147   24.00      0  76        1         0
#> 31.1  24.00      0  36        0         1
#> 28.1  24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 137.2 24.00      0  45        1         0
#> 27    24.00      0  63        1         0
#> 104   24.00      0  50        1         0
#> 173   24.00      0  19        0         1
#> 121   24.00      0  57        1         0
#> 20.2  24.00      0  46        1         0
#> 46    24.00      0  71        0         0
#> 71.1  24.00      0  51        0         0
#> 182   24.00      0  35        0         0
#> 20.3  24.00      0  46        1         0
#> 7     24.00      0  37        1         0
#> 109   24.00      0  48        0         0
#> 28.2  24.00      0  67        1         0
#> 21    24.00      0  47        0         0
#> 20.4  24.00      0  46        1         0
#> 198   24.00      0  66        0         1
#> 62    24.00      0  71        0         0
#> 75    24.00      0  21        1         0
#> 142.1 24.00      0  53        0         0
#> 174   24.00      0  49        1         0
#> 116.1 24.00      0  58        0         1
#> 186   24.00      0  45        1         0
#> 132.1 24.00      0  55        0         0
#> 102.1 24.00      0  49        0         0
#> 72    24.00      0  40        0         1
#> 151   24.00      0  42        0         0
#> 156   24.00      0  50        1         0
#> 73    24.00      0  NA        0         1
#> 62.1  24.00      0  71        0         0
#> 20.5  24.00      0  46        1         0
#> 138   24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 48.1  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.0647         NA        NA      NA
#> 2 age, Cure model         -0.00391        NA        NA      NA
#> 3 grade_ii, Cure model     0.216          NA        NA      NA
#> 4 grade_iii, Cure model    0.684          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00422        NA        NA      NA
#> 2 grade_ii, Survival model   0.711          NA        NA      NA
#> 3 grade_iii, Survival model  0.377          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         0.064720         -0.003915          0.215508          0.684410  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.5 
#> Residual Deviance: 260.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      0.064720085     -0.003914964      0.215507757      0.684409830 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.004217649      0.710750429      0.377312454 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.171044149 0.171044149 0.108038672 0.720349373 0.047606842 0.762077519
#>   [7] 0.859643976 0.425210563 0.171044149 0.296937604 0.545916622 0.047606842
#>  [13] 0.778706945 0.984865937 0.803410247 0.204128292 0.527151689 0.977255196
#>  [19] 0.481807256 0.453630558 0.811541844 0.662055283 0.396234549 0.247143489
#>  [25] 0.204128292 0.644493979 0.296937604 0.984865937 0.923118238 0.415713191
#>  [31] 0.795228922 0.737133887 0.891406068 0.453630558 0.536587917 0.481807256
#>  [37] 0.582410750 0.819658310 0.737133887 0.545916622 0.406068314 0.938766766
#>  [43] 0.009925737 0.835882360 0.662055283 0.582410750 0.627059320 0.600248556
#>  [49] 0.453630558 0.236282015 0.711981512 0.093364951 0.946576406 0.835882360
#>  [55] 0.267176573 0.346281611 0.961936644 0.875505776 0.481807256 0.009925737
#>  [61] 0.133851148 0.662055283 0.326197865 0.481807256 0.770425168 0.627059320
#>  [67] 0.728731303 0.835882360 0.296937604 0.753742069 0.204128292 0.609211098
#>  [73] 0.481807256 0.653289243 0.386222011 0.158646168 0.326197865 0.891406068
#>  [79] 0.875505776 0.695379018 0.662055283 0.786997881 0.444204700 0.545916622
#>  [85] 0.247143489 0.573199023 0.969598925 0.819658310 0.618147194 0.859643976
#>  [91] 0.695379018 0.277454843 0.032103325 0.907257972 0.376147550 0.434739461
#>  [97] 0.346281611 0.366116717 0.915206913 0.078230861 0.923118238 0.277454843
#> [103] 0.108038672 0.946576406 0.133851148 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    99  99.1   194   180   168    81   159   184    36   166   130 168.1   155 
#> 21.19 21.19 22.40 14.82 23.72 14.06 10.55 17.77 21.19 19.98 16.47 23.72 13.08 
#>   127    37    90    23    25    45    30    42   167    41   190  90.1     6 
#>  3.53 12.52 20.94 16.92  6.32 17.42 17.43 12.43 15.55 18.02 20.81 20.94 15.64 
#> 166.1 127.1   101   134   140    96    52  30.1   106  45.1   192    56  96.1 
#> 19.98  3.53  9.97 17.81 12.68 14.54 10.42 17.43 16.67 17.42 16.44 12.21 14.54 
#> 130.1    40   187    24    49 167.1 192.1   125     5  30.2    32   157    92 
#> 16.47 18.00  9.92 23.89 12.19 15.55 16.44 15.65 16.43 17.43 20.90 15.10 22.92 
#>   149  49.1    68   170    70    10  45.2  24.1   136 167.2   105  45.3    60 
#>  8.37 12.19 20.62 19.54  7.38 10.53 17.42 23.89 21.83 15.55 19.75 17.42 13.15 
#> 125.1   133  49.2 166.2    13  90.2   188  45.4    39   108   197 105.1  52.1 
#> 15.65 14.65 12.19 19.98 14.34 20.94 16.16 17.42 15.59 18.29 21.60 19.75 10.42 
#>  10.1    18 167.3   123   111 130.2 190.1   181    77  56.1    26 159.1  18.1 
#> 10.53 15.21 15.55 13.00 17.45 16.47 20.81 16.46  7.27 12.21 15.77 10.55 15.21 
#>   158    78    93   179   117 170.1    55   145   129 101.1 158.1 194.1 149.1 
#> 20.14 23.88 10.33 18.63 17.46 19.54 19.34 10.07 23.41  9.97 20.14 22.40  8.37 
#> 136.1    44    35    53    82   120   161   122    19    74    47    34 161.1 
#> 21.83 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1  35.1    84    98    20  47.1   191   200    95   176    31 120.1  20.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185 122.1 200.1    22 122.2     1   137    28    71  74.2 122.3   142  47.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48   132   103  95.1   163 137.1   143   102   146   193    38   147  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  28.1    94   116   152 137.2    27   104   173   121  20.2    46  71.1   182 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  20.3     7   109  28.2    21  20.4   198    62    75 142.1   174 116.1   186 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 132.1 102.1    72   151   156  62.1  20.5   138     2  48.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[90]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>             -0.0005146634              0.6931987380              0.1695818316 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.119210402             0.001849369            -0.157723063 
#>   grade_iii, Cure model 
#>             0.770515094 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 36    21.19      1  48        0         1
#> 39    15.59      1  37        0         1
#> 145   10.07      1  65        1         0
#> 13    14.34      1  54        0         1
#> 90    20.94      1  50        0         1
#> 166   19.98      1  48        0         0
#> 30    17.43      1  78        0         0
#> 164   23.60      1  76        0         1
#> 164.1 23.60      1  76        0         1
#> 43    12.10      1  61        0         1
#> 14    12.89      1  21        0         0
#> 169   22.41      1  46        0         0
#> 89    11.44      1  NA        0         0
#> 23    16.92      1  61        0         0
#> 113   22.86      1  34        0         0
#> 36.1  21.19      1  48        0         1
#> 189   10.51      1  NA        1         0
#> 56    12.21      1  60        0         0
#> 140   12.68      1  59        1         0
#> 88    18.37      1  47        0         0
#> 180   14.82      1  37        0         0
#> 88.1  18.37      1  47        0         0
#> 32    20.90      1  37        1         0
#> 69    23.23      1  25        0         1
#> 130   16.47      1  53        0         1
#> 184   17.77      1  38        0         0
#> 58    19.34      1  39        0         0
#> 194   22.40      1  38        0         1
#> 52    10.42      1  52        0         1
#> 57    14.46      1  45        0         1
#> 181   16.46      1  45        0         1
#> 189.1 10.51      1  NA        1         0
#> 26    15.77      1  49        0         1
#> 36.2  21.19      1  48        0         1
#> 63    22.77      1  31        1         0
#> 164.2 23.60      1  76        0         1
#> 154   12.63      1  20        1         0
#> 181.1 16.46      1  45        0         1
#> 170   19.54      1  43        0         1
#> 37    12.52      1  57        1         0
#> 56.1  12.21      1  60        0         0
#> 36.3  21.19      1  48        0         1
#> 197   21.60      1  69        1         0
#> 149    8.37      1  33        1         0
#> 117   17.46      1  26        0         1
#> 179   18.63      1  42        0         0
#> 91     5.33      1  61        0         1
#> 181.2 16.46      1  45        0         1
#> 88.2  18.37      1  47        0         0
#> 150   20.33      1  48        0         0
#> 183    9.24      1  67        1         0
#> 29    15.45      1  68        1         0
#> 167   15.55      1  56        1         0
#> 77     7.27      1  67        0         1
#> 133   14.65      1  57        0         0
#> 117.1 17.46      1  26        0         1
#> 170.1 19.54      1  43        0         1
#> 184.1 17.77      1  38        0         0
#> 26.1  15.77      1  49        0         1
#> 52.1  10.42      1  52        0         1
#> 85    16.44      1  36        0         0
#> 180.1 14.82      1  37        0         0
#> 50    10.02      1  NA        1         0
#> 140.1 12.68      1  59        1         0
#> 177   12.53      1  75        0         0
#> 113.1 22.86      1  34        0         0
#> 170.2 19.54      1  43        0         1
#> 86    23.81      1  58        0         1
#> 57.1  14.46      1  45        0         1
#> 150.1 20.33      1  48        0         0
#> 192   16.44      1  31        1         0
#> 90.1  20.94      1  50        0         1
#> 105   19.75      1  60        0         0
#> 41    18.02      1  40        1         0
#> 149.1  8.37      1  33        1         0
#> 57.2  14.46      1  45        0         1
#> 134   17.81      1  47        1         0
#> 128   20.35      1  35        0         1
#> 123   13.00      1  44        1         0
#> 13.1  14.34      1  54        0         1
#> 190   20.81      1  42        1         0
#> 69.1  23.23      1  25        0         1
#> 88.3  18.37      1  47        0         0
#> 66.1  22.13      1  53        0         0
#> 89.1  11.44      1  NA        0         0
#> 114   13.68      1  NA        0         0
#> 30.1  17.43      1  78        0         0
#> 18    15.21      1  49        1         0
#> 129   23.41      1  53        1         0
#> 179.1 18.63      1  42        0         0
#> 36.4  21.19      1  48        0         1
#> 16     8.71      1  71        0         1
#> 4     17.64      1  NA        0         1
#> 168   23.72      1  70        0         0
#> 149.2  8.37      1  33        1         0
#> 39.1  15.59      1  37        0         1
#> 59    10.16      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 124    9.73      1  NA        1         0
#> 24    23.89      1  38        0         0
#> 57.3  14.46      1  45        0         1
#> 127    3.53      1  62        0         1
#> 113.2 22.86      1  34        0         0
#> 40    18.00      1  28        1         0
#> 105.1 19.75      1  60        0         0
#> 108   18.29      1  39        0         1
#> 70     7.38      1  30        1         0
#> 159   10.55      1  50        0         1
#> 26.2  15.77      1  49        0         1
#> 189.2 10.51      1  NA        1         0
#> 169.1 22.41      1  46        0         0
#> 115   24.00      0  NA        1         0
#> 176   24.00      0  43        0         1
#> 193   24.00      0  45        0         1
#> 33    24.00      0  53        0         0
#> 2     24.00      0   9        0         0
#> 147   24.00      0  76        1         0
#> 147.1 24.00      0  76        1         0
#> 200   24.00      0  64        0         0
#> 178   24.00      0  52        1         0
#> 9     24.00      0  31        1         0
#> 151   24.00      0  42        0         0
#> 17    24.00      0  38        0         1
#> 19    24.00      0  57        0         1
#> 118   24.00      0  44        1         0
#> 118.1 24.00      0  44        1         0
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 165   24.00      0  47        0         0
#> 131   24.00      0  66        0         0
#> 46    24.00      0  71        0         0
#> 35    24.00      0  51        0         0
#> 95    24.00      0  68        0         1
#> 138   24.00      0  44        1         0
#> 116   24.00      0  58        0         1
#> 21    24.00      0  47        0         0
#> 71    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 141.1 24.00      0  44        1         0
#> 83    24.00      0   6        0         0
#> 48    24.00      0  31        1         0
#> 165.1 24.00      0  47        0         0
#> 193.1 24.00      0  45        0         1
#> 54    24.00      0  53        1         0
#> 35.1  24.00      0  51        0         0
#> 115.1 24.00      0  NA        1         0
#> 9.1   24.00      0  31        1         0
#> 160   24.00      0  31        1         0
#> 132.1 24.00      0  55        0         0
#> 109   24.00      0  48        0         0
#> 152   24.00      0  36        0         1
#> 21.1  24.00      0  47        0         0
#> 109.1 24.00      0  48        0         0
#> 172   24.00      0  41        0         0
#> 173   24.00      0  19        0         1
#> 12    24.00      0  63        0         0
#> 200.1 24.00      0  64        0         0
#> 109.2 24.00      0  48        0         0
#> 72    24.00      0  40        0         1
#> 120   24.00      0  68        0         1
#> 3     24.00      0  31        1         0
#> 200.2 24.00      0  64        0         0
#> 142   24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 73    24.00      0  NA        0         1
#> 22    24.00      0  52        1         0
#> 161   24.00      0  45        0         0
#> 196   24.00      0  19        0         0
#> 84    24.00      0  39        0         1
#> 22.1  24.00      0  52        1         0
#> 48.1  24.00      0  31        1         0
#> 176.1 24.00      0  43        0         1
#> 152.1 24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 71.1  24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 9.2   24.00      0  31        1         0
#> 103   24.00      0  56        1         0
#> 152.2 24.00      0  36        0         1
#> 196.1 24.00      0  19        0         0
#> 156   24.00      0  50        1         0
#> 94    24.00      0  51        0         1
#> 33.1  24.00      0  53        0         0
#> 17.1  24.00      0  38        0         1
#> 151.1 24.00      0  42        0         0
#> 33.2  24.00      0  53        0         0
#> 193.2 24.00      0  45        0         1
#> 131.1 24.00      0  66        0         0
#> 116.1 24.00      0  58        0         1
#> 35.2  24.00      0  51        0         0
#> 147.2 24.00      0  76        1         0
#> 148   24.00      0  61        1         0
#> 27    24.00      0  63        1         0
#> 146   24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 163   24.00      0  66        0         0
#> 147.3 24.00      0  76        1         0
#> 152.3 24.00      0  36        0         1
#> 75    24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.119          NA        NA      NA
#> 2 age, Cure model          0.00185        NA        NA      NA
#> 3 grade_ii, Cure model    -0.158          NA        NA      NA
#> 4 grade_iii, Cure model    0.771          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                       estimate std.error statistic p.value
#>   <chr>                         <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.000515        NA        NA      NA
#> 2 grade_ii, Survival model   0.693           NA        NA      NA
#> 3 grade_iii, Survival model  0.170           NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.119210          0.001849         -0.157723          0.770515  
#> 
#> Degrees of Freedom: 186 Total (i.e. Null);  183 Residual
#> Null Deviance:	    257.7 
#> Residual Deviance: 250.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.119210402      0.001849369     -0.157723063      0.770515094 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>    -0.0005146634     0.6931987380     0.1695818316 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.22560103 0.25958129 0.68830488 0.91496842 0.79158645 0.30938684
#>   [7] 0.37978586 0.58006006 0.06712747 0.06712747 0.88262770 0.81698248
#>  [13] 0.19103693 0.59837761 0.14411375 0.25958129 0.86643414 0.82542206
#>  [19] 0.46723617 0.73217037 0.46723617 0.33014645 0.11974913 0.60761197
#>  [25] 0.54336930 0.43803652 0.21393290 0.89886259 0.75792631 0.61682493
#>  [31] 0.66178044 0.25958129 0.17925951 0.06712747 0.84189973 0.61682493
#>  [37] 0.40930574 0.85830382 0.86643414 0.25958129 0.24839753 0.94659168
#>  [43] 0.56176529 0.44783518 0.98476715 0.61682493 0.46723617 0.36022902
#>  [49] 0.93081366 0.71484232 0.70602896 0.97713766 0.74930605 0.56176529
#>  [55] 0.40930574 0.54336930 0.66178044 0.89886259 0.64386504 0.73217037
#>  [61] 0.82542206 0.85010028 0.14411375 0.40930574 0.03039147 0.75792631
#>  [67] 0.36022902 0.64386504 0.30938684 0.38969984 0.51507711 0.94659168
#>  [73] 0.75792631 0.53409827 0.35032758 0.80854384 0.79158645 0.34038015
#>  [79] 0.11974913 0.46723617 0.22560103 0.58006006 0.72355564 0.10639831
#>  [85] 0.44783518 0.25958129 0.93870739 0.04859467 0.94659168 0.68830488
#>  [91] 0.91496842 0.01096175 0.75792631 0.99238789 0.14411375 0.52467142
#>  [97] 0.38969984 0.50530825 0.96949955 0.89075087 0.66178044 0.19103693
#> [103] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000
#> 
#> $Time
#>    66    36    39   145    13    90   166    30   164 164.1    43    14   169 
#> 22.13 21.19 15.59 10.07 14.34 20.94 19.98 17.43 23.60 23.60 12.10 12.89 22.41 
#>    23   113  36.1    56   140    88   180  88.1    32    69   130   184    58 
#> 16.92 22.86 21.19 12.21 12.68 18.37 14.82 18.37 20.90 23.23 16.47 17.77 19.34 
#>   194    52    57   181    26  36.2    63 164.2   154 181.1   170    37  56.1 
#> 22.40 10.42 14.46 16.46 15.77 21.19 22.77 23.60 12.63 16.46 19.54 12.52 12.21 
#>  36.3   197   149   117   179    91 181.2  88.2   150   183    29   167    77 
#> 21.19 21.60  8.37 17.46 18.63  5.33 16.46 18.37 20.33  9.24 15.45 15.55  7.27 
#>   133 117.1 170.1 184.1  26.1  52.1    85 180.1 140.1   177 113.1 170.2    86 
#> 14.65 17.46 19.54 17.77 15.77 10.42 16.44 14.82 12.68 12.53 22.86 19.54 23.81 
#>  57.1 150.1   192  90.1   105    41 149.1  57.2   134   128   123  13.1   190 
#> 14.46 20.33 16.44 20.94 19.75 18.02  8.37 14.46 17.81 20.35 13.00 14.34 20.81 
#>  69.1  88.3  66.1  30.1    18   129 179.1  36.4    16   168 149.2  39.1 145.1 
#> 23.23 18.37 22.13 17.43 15.21 23.41 18.63 21.19  8.71 23.72  8.37 15.59 10.07 
#>    24  57.3   127 113.2    40 105.1   108    70   159  26.2 169.1   176   193 
#> 23.89 14.46  3.53 22.86 18.00 19.75 18.29  7.38 10.55 15.77 22.41 24.00 24.00 
#>    33     2   147 147.1   200   178     9   151    17    19   118 118.1   132 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   141   165   131    46    35    95   138   116    21    71    98 141.1    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    48 165.1 193.1    54  35.1   9.1   160 132.1   109   152  21.1 109.1   172 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   173    12 200.1 109.2    72   120     3 200.2   142   143    22   161   196 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84  22.1  48.1 176.1 152.1    38  71.1 120.1   9.2   103 152.2 196.1   156 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94  33.1  17.1 151.1  33.2 193.2 131.1 116.1  35.2 147.2   148    27   146 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    28   163 147.3 152.3    75 
#> 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[91]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.005239915               0.436258355              -0.024375589 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.76770587              0.01334184              0.04716375 
#>   grade_iii, Cure model 
#>              0.81824279 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 66    22.13      1  53        0         0
#> 30    17.43      1  78        0         0
#> 86    23.81      1  58        0         1
#> 58    19.34      1  39        0         0
#> 184   17.77      1  38        0         0
#> 149    8.37      1  33        1         0
#> 4     17.64      1  NA        0         1
#> 29    15.45      1  68        1         0
#> 154   12.63      1  20        1         0
#> 92    22.92      1  47        0         1
#> 189   10.51      1  NA        1         0
#> 30.1  17.43      1  78        0         0
#> 105   19.75      1  60        0         0
#> 90    20.94      1  50        0         1
#> 195   11.76      1  NA        1         0
#> 170   19.54      1  43        0         1
#> 6     15.64      1  39        0         0
#> 60    13.15      1  38        1         0
#> 96    14.54      1  33        0         1
#> 4.1   17.64      1  NA        0         1
#> 10    10.53      1  34        0         0
#> 85    16.44      1  36        0         0
#> 199   19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 171   16.57      1  41        0         1
#> 100   16.07      1  60        0         0
#> 8     18.43      1  32        0         0
#> 76    19.22      1  54        0         1
#> 16     8.71      1  71        0         1
#> 197   21.60      1  69        1         0
#> 42    12.43      1  49        0         1
#> 78    23.88      1  43        0         0
#> 188   16.16      1  46        0         1
#> 40    18.00      1  28        1         0
#> 18    15.21      1  49        1         0
#> 194   22.40      1  38        0         1
#> 133   14.65      1  57        0         0
#> 195.1 11.76      1  NA        1         0
#> 189.1 10.51      1  NA        1         0
#> 45    17.42      1  54        0         1
#> 110   17.56      1  65        0         1
#> 179   18.63      1  42        0         0
#> 6.1   15.64      1  39        0         0
#> 164   23.60      1  76        0         1
#> 136   21.83      1  43        0         1
#> 114   13.68      1  NA        0         0
#> 60.1  13.15      1  38        1         0
#> 190   20.81      1  42        1         0
#> 179.1 18.63      1  42        0         0
#> 92.1  22.92      1  47        0         1
#> 171.1 16.57      1  41        0         1
#> 155   13.08      1  26        0         0
#> 41    18.02      1  40        1         0
#> 86.1  23.81      1  58        0         1
#> 49    12.19      1  48        1         0
#> 91     5.33      1  61        0         1
#> 30.2  17.43      1  78        0         0
#> 159   10.55      1  50        0         1
#> 184.1 17.77      1  38        0         0
#> 77     7.27      1  67        0         1
#> 79    16.23      1  54        1         0
#> 171.2 16.57      1  41        0         1
#> 158   20.14      1  74        1         0
#> 92.2  22.92      1  47        0         1
#> 106   16.67      1  49        1         0
#> 170.1 19.54      1  43        0         1
#> 111   17.45      1  47        0         1
#> 86.2  23.81      1  58        0         1
#> 134   17.81      1  47        1         0
#> 130   16.47      1  53        0         1
#> 32    20.90      1  37        1         0
#> 85.1  16.44      1  36        0         0
#> 167   15.55      1  56        1         0
#> 105.1 19.75      1  60        0         0
#> 49.1  12.19      1  48        1         0
#> 93    10.33      1  52        0         1
#> 45.1  17.42      1  54        0         1
#> 190.1 20.81      1  42        1         0
#> 50    10.02      1  NA        1         0
#> 157   15.10      1  47        0         0
#> 77.1   7.27      1  67        0         1
#> 177   12.53      1  75        0         0
#> 60.2  13.15      1  38        1         0
#> 49.2  12.19      1  48        1         0
#> 108   18.29      1  39        0         1
#> 52    10.42      1  52        0         1
#> 128.1 20.35      1  35        0         1
#> 40.1  18.00      1  28        1         0
#> 168   23.72      1  70        0         0
#> 153   21.33      1  55        1         0
#> 93.1  10.33      1  52        0         1
#> 107   11.18      1  54        1         0
#> 150   20.33      1  48        0         0
#> 68    20.62      1  44        0         0
#> 66.1  22.13      1  53        0         0
#> 128.2 20.35      1  35        0         1
#> 59    10.16      1  NA        1         0
#> 111.1 17.45      1  47        0         1
#> 81    14.06      1  34        0         0
#> 40.2  18.00      1  28        1         0
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 194.1 22.40      1  38        0         1
#> 93.2  10.33      1  52        0         1
#> 181   16.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 150.1 20.33      1  48        0         0
#> 55    19.34      1  69        0         1
#> 97    19.14      1  65        0         1
#> 150.2 20.33      1  48        0         0
#> 13    14.34      1  54        0         1
#> 79.1  16.23      1  54        1         0
#> 156   24.00      0  50        1         0
#> 131   24.00      0  66        0         0
#> 95    24.00      0  68        0         1
#> 80    24.00      0  41        0         0
#> 144   24.00      0  28        0         1
#> 95.1  24.00      0  68        0         1
#> 104   24.00      0  50        1         0
#> 95.2  24.00      0  68        0         1
#> 46    24.00      0  71        0         0
#> 65    24.00      0  57        1         0
#> 186   24.00      0  45        1         0
#> 196   24.00      0  19        0         0
#> 74    24.00      0  43        0         1
#> 74.1  24.00      0  43        0         1
#> 95.3  24.00      0  68        0         1
#> 82    24.00      0  34        0         0
#> 146   24.00      0  63        1         0
#> 27    24.00      0  63        1         0
#> 156.1 24.00      0  50        1         0
#> 7     24.00      0  37        1         0
#> 20    24.00      0  46        1         0
#> 172   24.00      0  41        0         0
#> 131.1 24.00      0  66        0         0
#> 172.1 24.00      0  41        0         0
#> 7.1   24.00      0  37        1         0
#> 152   24.00      0  36        0         1
#> 82.1  24.00      0  34        0         0
#> 27.1  24.00      0  63        1         0
#> 176   24.00      0  43        0         1
#> 33    24.00      0  53        0         0
#> 102   24.00      0  49        0         0
#> 143   24.00      0  51        0         0
#> 2     24.00      0   9        0         0
#> 196.1 24.00      0  19        0         0
#> 44    24.00      0  56        0         0
#> 176.1 24.00      0  43        0         1
#> 7.2   24.00      0  37        1         0
#> 2.1   24.00      0   9        0         0
#> 135   24.00      0  58        1         0
#> 1     24.00      0  23        1         0
#> 33.1  24.00      0  53        0         0
#> 7.3   24.00      0  37        1         0
#> 144.1 24.00      0  28        0         1
#> 172.2 24.00      0  41        0         0
#> 27.2  24.00      0  63        1         0
#> 160   24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 95.4  24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 122   24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 198   24.00      0  66        0         1
#> 84    24.00      0  39        0         1
#> 142   24.00      0  53        0         0
#> 87    24.00      0  27        0         0
#> 11    24.00      0  42        0         1
#> 48    24.00      0  31        1         0
#> 28    24.00      0  67        1         0
#> 94    24.00      0  51        0         1
#> 122.1 24.00      0  66        0         0
#> 138   24.00      0  44        1         0
#> 151   24.00      0  42        0         0
#> 22    24.00      0  52        1         0
#> 122.2 24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 11.1  24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 98    24.00      0  34        1         0
#> 102.1 24.00      0  49        0         0
#> 48.1  24.00      0  31        1         0
#> 54    24.00      0  53        1         0
#> 109   24.00      0  48        0         0
#> 119   24.00      0  17        0         0
#> 98.1  24.00      0  34        1         0
#> 161.1 24.00      0  45        0         0
#> 143.1 24.00      0  51        0         0
#> 21.1  24.00      0  47        0         0
#> 67.1  24.00      0  25        0         0
#> 94.1  24.00      0  51        0         1
#> 44.1  24.00      0  56        0         0
#> 161.2 24.00      0  45        0         0
#> 11.2  24.00      0  42        0         1
#> 75    24.00      0  21        1         0
#> 185   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 17    24.00      0  38        0         1
#> 104.1 24.00      0  50        1         0
#> 148   24.00      0  61        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.768         NA        NA      NA
#> 2 age, Cure model           0.0133        NA        NA      NA
#> 3 grade_ii, Cure model      0.0472        NA        NA      NA
#> 4 grade_iii, Cure model     0.818         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00524        NA        NA      NA
#> 2 grade_ii, Survival model   0.436          NA        NA      NA
#> 3 grade_iii, Survival model -0.0244         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.76771           0.01334           0.04716           0.81824  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 251.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.76770587       0.01334184       0.04716375       0.81824279 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.005239915      0.436258355     -0.024375589 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.083320479 0.453724394 0.008079664 0.274256696 0.403839137 0.955864616
#>   [7] 0.664115028 0.782814684 0.036941184 0.453724394 0.236287114 0.128664822
#>  [13] 0.255115578 0.631816259 0.740026576 0.707303709 0.890468283 0.567868113
#>  [19] 0.173463878 0.515434234 0.621046149 0.333969359 0.293741617 0.944828657
#>  [25] 0.110183765 0.804394148 0.002308577 0.610326193 0.364826597 0.674908229
#>  [31] 0.066672765 0.696463961 0.484206612 0.423570918 0.313841095 0.631816259
#>  [37] 0.029287110 0.100825683 0.740026576 0.147194782 0.313841095 0.036941184
#>  [43] 0.515434234 0.771990288 0.354570509 0.008079664 0.826017464 0.988888613
#>  [49] 0.453724394 0.879626306 0.403839137 0.966862323 0.589160471 0.515434234
#>  [55] 0.226884176 0.036941184 0.504980779 0.255115578 0.433626948 0.008079664
#>  [61] 0.393938225 0.546558083 0.138014941 0.567868113 0.653307213 0.236287114
#>  [67] 0.826017464 0.912229146 0.484206612 0.147194782 0.685667603 0.966862323
#>  [73] 0.793580579 0.740026576 0.826017464 0.344238416 0.901331846 0.173463878
#>  [79] 0.364826597 0.022271341 0.119481108 0.912229146 0.868817505 0.199774961
#>  [85] 0.164480944 0.083320479 0.173463878 0.433626948 0.729086568 0.364826597
#>  [91] 0.857986381 0.058216667 0.066672765 0.912229146 0.557189758 0.804394148
#>  [97] 0.199774961 0.274256696 0.303740509 0.199774961 0.718173285 0.589160471
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    66    30    86    58   184   149    29   154    92  30.1   105    90   170 
#> 22.13 17.43 23.81 19.34 17.77  8.37 15.45 12.63 22.92 17.43 19.75 20.94 19.54 
#>     6    60    96    10    85   128   171   100     8    76    16   197    42 
#> 15.64 13.15 14.54 10.53 16.44 20.35 16.57 16.07 18.43 19.22  8.71 21.60 12.43 
#>    78   188    40    18   194   133    45   110   179   6.1   164   136  60.1 
#> 23.88 16.16 18.00 15.21 22.40 14.65 17.42 17.56 18.63 15.64 23.60 21.83 13.15 
#>   190 179.1  92.1 171.1   155    41  86.1    49    91  30.2   159 184.1    77 
#> 20.81 18.63 22.92 16.57 13.08 18.02 23.81 12.19  5.33 17.43 10.55 17.77  7.27 
#>    79 171.2   158  92.2   106 170.1   111  86.2   134   130    32  85.1   167 
#> 16.23 16.57 20.14 22.92 16.67 19.54 17.45 23.81 17.81 16.47 20.90 16.44 15.55 
#> 105.1  49.1    93  45.1 190.1   157  77.1   177  60.2  49.2   108    52 128.1 
#> 19.75 12.19 10.33 17.42 20.81 15.10  7.27 12.53 13.15 12.19 18.29 10.42 20.35 
#>  40.1   168   153  93.1   107   150    68  66.1 128.2 111.1    81  40.2    43 
#> 18.00 23.72 21.33 10.33 11.18 20.33 20.62 22.13 20.35 17.45 14.06 18.00 12.10 
#>    15 194.1  93.2   181  42.1 150.1    55    97 150.2    13  79.1   156   131 
#> 22.68 22.40 10.33 16.46 12.43 20.33 19.34 19.14 20.33 14.34 16.23 24.00 24.00 
#>    95    80   144  95.1   104  95.2    46    65   186   196    74  74.1  95.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    82   146    27 156.1     7    20   172 131.1 172.1   7.1   152  82.1  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   176    33   102   143     2 196.1    44 176.1   7.2   2.1   135     1  33.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   7.3 144.1 172.2  27.2   160    31  95.4   161   122    21   198    84   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    87    11    48    28    94 122.1   138   151    22 122.2    67  11.1    98 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 102.1  48.1    54   109   119  98.1 161.1 143.1  21.1  67.1  94.1  44.1 161.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  11.2    75   185   120    17 104.1   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[92]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.006352723               0.367958839               0.476900797 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -1.05295755              0.01996096             -0.19288646 
#>   grade_iii, Cure model 
#>              0.87500386 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 97    19.14      1  65        0         1
#> 36    21.19      1  48        0         1
#> 150   20.33      1  48        0         0
#> 58    19.34      1  39        0         0
#> 171   16.57      1  41        0         1
#> 26    15.77      1  49        0         1
#> 188   16.16      1  46        0         1
#> 16     8.71      1  71        0         1
#> 23    16.92      1  61        0         0
#> 55    19.34      1  69        0         1
#> 51    18.23      1  83        0         1
#> 6     15.64      1  39        0         0
#> 61    10.12      1  36        0         1
#> 113   22.86      1  34        0         0
#> 13    14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 10    10.53      1  34        0         0
#> 60    13.15      1  38        1         0
#> 41    18.02      1  40        1         0
#> 111   17.45      1  47        0         1
#> 60.1  13.15      1  38        1         0
#> 167   15.55      1  56        1         0
#> 52    10.42      1  52        0         1
#> 5     16.43      1  51        0         1
#> 18    15.21      1  49        1         0
#> 96    14.54      1  33        0         1
#> 117   17.46      1  26        0         1
#> 111.1 17.45      1  47        0         1
#> 14    12.89      1  21        0         0
#> 129   23.41      1  53        1         0
#> 45    17.42      1  54        0         1
#> 99    21.19      1  38        0         1
#> 90    20.94      1  50        0         1
#> 97.1  19.14      1  65        0         1
#> 188.1 16.16      1  46        0         1
#> 6.1   15.64      1  39        0         0
#> 52.1  10.42      1  52        0         1
#> 169   22.41      1  46        0         0
#> 39    15.59      1  37        0         1
#> 150.1 20.33      1  48        0         0
#> 123   13.00      1  44        1         0
#> 166   19.98      1  48        0         0
#> 127    3.53      1  62        0         1
#> 171.1 16.57      1  41        0         1
#> 29    15.45      1  68        1         0
#> 77     7.27      1  67        0         1
#> 149    8.37      1  33        1         0
#> 128   20.35      1  35        0         1
#> 190   20.81      1  42        1         0
#> 195   11.76      1  NA        1         0
#> 69    23.23      1  25        0         1
#> 168   23.72      1  70        0         0
#> 100   16.07      1  60        0         0
#> 183    9.24      1  67        1         0
#> 125   15.65      1  67        1         0
#> 166.1 19.98      1  48        0         0
#> 154   12.63      1  20        1         0
#> 29.1  15.45      1  68        1         0
#> 181   16.46      1  45        0         1
#> 8     18.43      1  32        0         0
#> 26.1  15.77      1  49        0         1
#> 89    11.44      1  NA        0         0
#> 140   12.68      1  59        1         0
#> 111.2 17.45      1  47        0         1
#> 166.2 19.98      1  48        0         0
#> 59    10.16      1  NA        1         0
#> 171.2 16.57      1  41        0         1
#> 100.1 16.07      1  60        0         0
#> 97.2  19.14      1  65        0         1
#> 5.1   16.43      1  51        0         1
#> 77.1   7.27      1  67        0         1
#> 197   21.60      1  69        1         0
#> 81    14.06      1  34        0         0
#> 43    12.10      1  61        0         1
#> 181.1 16.46      1  45        0         1
#> 111.3 17.45      1  47        0         1
#> 108   18.29      1  39        0         1
#> 10.1  10.53      1  34        0         0
#> 127.1  3.53      1  62        0         1
#> 16.1   8.71      1  71        0         1
#> 26.2  15.77      1  49        0         1
#> 30    17.43      1  78        0         0
#> 89.1  11.44      1  NA        0         0
#> 99.1  21.19      1  38        0         1
#> 134   17.81      1  47        1         0
#> 158   20.14      1  74        1         0
#> 117.1 17.46      1  26        0         1
#> 30.1  17.43      1  78        0         0
#> 108.1 18.29      1  39        0         1
#> 167.1 15.55      1  56        1         0
#> 63    22.77      1  31        1         0
#> 39.1  15.59      1  37        0         1
#> 76    19.22      1  54        0         1
#> 30.2  17.43      1  78        0         0
#> 30.3  17.43      1  78        0         0
#> 40    18.00      1  28        1         0
#> 43.1  12.10      1  61        0         1
#> 114   13.68      1  NA        0         0
#> 183.1  9.24      1  67        1         0
#> 93    10.33      1  52        0         1
#> 159   10.55      1  50        0         1
#> 101    9.97      1  10        0         1
#> 49    12.19      1  48        1         0
#> 150.2 20.33      1  48        0         0
#> 16.2   8.71      1  71        0         1
#> 134.1 17.81      1  47        1         0
#> 114.1 13.68      1  NA        0         0
#> 199   19.81      1  NA        0         1
#> 56    12.21      1  60        0         0
#> 89.2  11.44      1  NA        0         0
#> 26.3  15.77      1  49        0         1
#> 60.2  13.15      1  38        1         0
#> 191   24.00      0  60        0         1
#> 161   24.00      0  45        0         0
#> 87    24.00      0  27        0         0
#> 98    24.00      0  34        1         0
#> 1     24.00      0  23        1         0
#> 20    24.00      0  46        1         0
#> 54    24.00      0  53        1         0
#> 120   24.00      0  68        0         1
#> 75    24.00      0  21        1         0
#> 22    24.00      0  52        1         0
#> 34    24.00      0  36        0         0
#> 141   24.00      0  44        1         0
#> 163   24.00      0  66        0         0
#> 148   24.00      0  61        1         0
#> 118   24.00      0  44        1         0
#> 172   24.00      0  41        0         0
#> 34.1  24.00      0  36        0         0
#> 103   24.00      0  56        1         0
#> 152   24.00      0  36        0         1
#> 178   24.00      0  52        1         0
#> 148.1 24.00      0  61        1         0
#> 75.1  24.00      0  21        1         0
#> 48    24.00      0  31        1         0
#> 80    24.00      0  41        0         0
#> 46    24.00      0  71        0         0
#> 84    24.00      0  39        0         1
#> 87.1  24.00      0  27        0         0
#> 31    24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 156   24.00      0  50        1         0
#> 165   24.00      0  47        0         0
#> 152.1 24.00      0  36        0         1
#> 135   24.00      0  58        1         0
#> 64    24.00      0  43        0         0
#> 12    24.00      0  63        0         0
#> 84.1  24.00      0  39        0         1
#> 152.2 24.00      0  36        0         1
#> 7     24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 83    24.00      0   6        0         0
#> 119   24.00      0  17        0         0
#> 35.1  24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 94    24.00      0  51        0         1
#> 65    24.00      0  57        1         0
#> 64.1  24.00      0  43        0         0
#> 161.1 24.00      0  45        0         0
#> 2     24.00      0   9        0         0
#> 83.1  24.00      0   6        0         0
#> 12.1  24.00      0  63        0         0
#> 1.1   24.00      0  23        1         0
#> 116   24.00      0  58        0         1
#> 35.2  24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 146   24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 193.1 24.00      0  45        0         1
#> 95    24.00      0  68        0         1
#> 2.1   24.00      0   9        0         0
#> 103.1 24.00      0  56        1         0
#> 17    24.00      0  38        0         1
#> 103.2 24.00      0  56        1         0
#> 191.1 24.00      0  60        0         1
#> 21    24.00      0  47        0         0
#> 31.1  24.00      0  36        0         1
#> 48.1  24.00      0  31        1         0
#> 83.2  24.00      0   6        0         0
#> 198   24.00      0  66        0         1
#> 74    24.00      0  43        0         1
#> 95.1  24.00      0  68        0         1
#> 27    24.00      0  63        1         0
#> 1.2   24.00      0  23        1         0
#> 198.1 24.00      0  66        0         1
#> 138   24.00      0  44        1         0
#> 98.1  24.00      0  34        1         0
#> 185   24.00      0  44        1         0
#> 135.1 24.00      0  58        1         0
#> 137   24.00      0  45        1         0
#> 47    24.00      0  38        0         1
#> 48.2  24.00      0  31        1         0
#> 95.2  24.00      0  68        0         1
#> 174   24.00      0  49        1         0
#> 31.2  24.00      0  36        0         1
#> 103.3 24.00      0  56        1         0
#> 151   24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 126   24.00      0  48        0         0
#> 48.3  24.00      0  31        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -1.05          NA        NA      NA
#> 2 age, Cure model           0.0200        NA        NA      NA
#> 3 grade_ii, Cure model     -0.193         NA        NA      NA
#> 4 grade_iii, Cure model     0.875         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00635        NA        NA      NA
#> 2 grade_ii, Survival model   0.368          NA        NA      NA
#> 3 grade_iii, Survival model  0.477          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -1.05296           0.01996          -0.19289           0.87500  
#> 
#> Degrees of Freedom: 191 Total (i.e. Null);  188 Residual
#> Null Deviance:	    264.8 
#> Residual Deviance: 249.2 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -1.05295755       0.01996096      -0.19288646       0.87500386 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.006352723      0.367958839      0.476900797 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.45924754 0.25269135 0.34031941 0.42558446 0.66425724 0.74032521
#>   [7] 0.71356920 0.96003802 0.65674233 0.42558446 0.51763873 0.77199003
#>  [13] 0.93908087 0.16081480 0.83294515 0.56241169 0.91219327 0.84465851
#>  [19] 0.52690890 0.58794060 0.84465851 0.79694604 0.92305113 0.69983469
#>  [25] 0.82107414 0.82703066 0.57111832 0.58794060 0.86751151 0.10133232
#>  [31] 0.64918650 0.25269135 0.29760322 0.45924754 0.71356920 0.77199003
#>  [37] 0.92305113 0.21003285 0.78457102 0.34031941 0.86179560 0.39053103
#>  [43] 0.99019572 0.66425724 0.80912029 0.98025475 0.97519621 0.32668149
#>  [49] 0.31244203 0.13395303 0.05337715 0.72700431 0.94965439 0.76564451
#>  [55] 0.39053103 0.87889175 0.80912029 0.68576116 0.48870527 0.74032521
#>  [61] 0.87322206 0.58794060 0.39053103 0.66425724 0.72700431 0.45924754
#>  [67] 0.69983469 0.98025475 0.23256909 0.83880676 0.89576353 0.68576116
#>  [73] 0.58794060 0.49868257 0.91219327 0.99019572 0.96003802 0.74032521
#>  [79] 0.61904894 0.25269135 0.54506047 0.37806781 0.57111832 0.61904894
#>  [85] 0.49868257 0.79694604 0.18664836 0.78457102 0.44816865 0.61904894
#>  [91] 0.61904894 0.53604046 0.89576353 0.94965439 0.93375269 0.90673236
#>  [97] 0.94437824 0.89016781 0.34031941 0.96003802 0.54506047 0.88453812
#> [103] 0.74032521 0.84465851 0.00000000 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>    97    36   150    58   171    26   188    16    23    55    51     6    61 
#> 19.14 21.19 20.33 19.34 16.57 15.77 16.16  8.71 16.92 19.34 18.23 15.64 10.12 
#>   113    13   184    10    60    41   111  60.1   167    52     5    18    96 
#> 22.86 14.34 17.77 10.53 13.15 18.02 17.45 13.15 15.55 10.42 16.43 15.21 14.54 
#>   117 111.1    14   129    45    99    90  97.1 188.1   6.1  52.1   169    39 
#> 17.46 17.45 12.89 23.41 17.42 21.19 20.94 19.14 16.16 15.64 10.42 22.41 15.59 
#> 150.1   123   166   127 171.1    29    77   149   128   190    69   168   100 
#> 20.33 13.00 19.98  3.53 16.57 15.45  7.27  8.37 20.35 20.81 23.23 23.72 16.07 
#>   183   125 166.1   154  29.1   181     8  26.1   140 111.2 166.2 171.2 100.1 
#>  9.24 15.65 19.98 12.63 15.45 16.46 18.43 15.77 12.68 17.45 19.98 16.57 16.07 
#>  97.2   5.1  77.1   197    81    43 181.1 111.3   108  10.1 127.1  16.1  26.2 
#> 19.14 16.43  7.27 21.60 14.06 12.10 16.46 17.45 18.29 10.53  3.53  8.71 15.77 
#>    30  99.1   134   158 117.1  30.1 108.1 167.1    63  39.1    76  30.2  30.3 
#> 17.43 21.19 17.81 20.14 17.46 17.43 18.29 15.55 22.77 15.59 19.22 17.43 17.43 
#>    40  43.1 183.1    93   159   101    49 150.2  16.2 134.1    56  26.3  60.2 
#> 18.00 12.10  9.24 10.33 10.55  9.97 12.19 20.33  8.71 17.81 12.21 15.77 13.15 
#>   191   161    87    98     1    20    54   120    75    22    34   141   163 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   118   172  34.1   103   152   178 148.1  75.1    48    80    46    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  87.1    31    35   156   165 152.1   135    64    12  84.1 152.2     7   193 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83   119  35.1    62    94    65  64.1 161.1     2  83.1  12.1   1.1   116 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.2   131   146    11 193.1    95   2.1 103.1    17 103.2 191.1    21  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  48.1  83.2   198    74  95.1    27   1.2 198.1   138  98.1   185 135.1   137 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    47  48.2  95.2   174  31.2 103.3   151   112   126  48.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[93]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.002326277               0.373837713               0.604250892 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.89694878              0.01977144              0.26910661 
#>   grade_iii, Cure model 
#>              0.29142172 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 13    14.34      1  54        0         1
#> 184   17.77      1  38        0         0
#> 124    9.73      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 42    12.43      1  49        0         1
#> 55    19.34      1  69        0         1
#> 32    20.90      1  37        1         0
#> 15    22.68      1  48        0         0
#> 149    8.37      1  33        1         0
#> 14    12.89      1  21        0         0
#> 139   21.49      1  63        1         0
#> 78    23.88      1  43        0         0
#> 114   13.68      1  NA        0         0
#> 69    23.23      1  25        0         1
#> 149.1  8.37      1  33        1         0
#> 60    13.15      1  38        1         0
#> 125   15.65      1  67        1         0
#> 127    3.53      1  62        0         1
#> 59    10.16      1  NA        1         0
#> 197   21.60      1  69        1         0
#> 10    10.53      1  34        0         0
#> 52    10.42      1  52        0         1
#> 150   20.33      1  48        0         0
#> 36    21.19      1  48        0         1
#> 149.2  8.37      1  33        1         0
#> 128   20.35      1  35        0         1
#> 77     7.27      1  67        0         1
#> 90    20.94      1  50        0         1
#> 153   21.33      1  55        1         0
#> 184.1 17.77      1  38        0         0
#> 43    12.10      1  61        0         1
#> 16     8.71      1  71        0         1
#> 181   16.46      1  45        0         1
#> 179   18.63      1  42        0         0
#> 99    21.19      1  38        0         1
#> 57    14.46      1  45        0         1
#> 42.1  12.43      1  49        0         1
#> 105   19.75      1  60        0         0
#> 166   19.98      1  48        0         0
#> 61    10.12      1  36        0         1
#> 139.1 21.49      1  63        1         0
#> 52.1  10.42      1  52        0         1
#> 170   19.54      1  43        0         1
#> 117   17.46      1  26        0         1
#> 85    16.44      1  36        0         0
#> 150.1 20.33      1  48        0         0
#> 149.3  8.37      1  33        1         0
#> 89    11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 187    9.92      1  39        1         0
#> 113   22.86      1  34        0         0
#> 93    10.33      1  52        0         1
#> 106   16.67      1  49        1         0
#> 99.1  21.19      1  38        0         1
#> 88    18.37      1  47        0         0
#> 14.1  12.89      1  21        0         0
#> 63    22.77      1  31        1         0
#> 24    23.89      1  38        0         0
#> 123   13.00      1  44        1         0
#> 93.1  10.33      1  52        0         1
#> 154   12.63      1  20        1         0
#> 154.1 12.63      1  20        1         0
#> 123.1 13.00      1  44        1         0
#> 51    18.23      1  83        0         1
#> 127.1  3.53      1  62        0         1
#> 79    16.23      1  54        1         0
#> 58    19.34      1  39        0         0
#> 91     5.33      1  61        0         1
#> 30    17.43      1  78        0         0
#> 128.1 20.35      1  35        0         1
#> 155   13.08      1  26        0         0
#> 159.1 10.55      1  50        0         1
#> 32.1  20.90      1  37        1         0
#> 153.1 21.33      1  55        1         0
#> 88.1  18.37      1  47        0         0
#> 139.2 21.49      1  63        1         0
#> 195   11.76      1  NA        1         0
#> 106.1 16.67      1  49        1         0
#> 49    12.19      1  48        1         0
#> 25     6.32      1  34        1         0
#> 145   10.07      1  65        1         0
#> 70     7.38      1  30        1         0
#> 88.2  18.37      1  47        0         0
#> 110   17.56      1  65        0         1
#> 197.1 21.60      1  69        1         0
#> 23    16.92      1  61        0         0
#> 37.1  12.52      1  57        1         0
#> 180   14.82      1  37        0         0
#> 124.1  9.73      1  NA        1         0
#> 145.1 10.07      1  65        1         0
#> 106.2 16.67      1  49        1         0
#> 30.1  17.43      1  78        0         0
#> 106.3 16.67      1  49        1         0
#> 171   16.57      1  41        0         1
#> 159.2 10.55      1  50        0         1
#> 79.1  16.23      1  54        1         0
#> 167   15.55      1  56        1         0
#> 199   19.81      1  NA        0         1
#> 153.2 21.33      1  55        1         0
#> 88.3  18.37      1  47        0         0
#> 40    18.00      1  28        1         0
#> 189   10.51      1  NA        1         0
#> 14.2  12.89      1  21        0         0
#> 101    9.97      1  10        0         1
#> 30.2  17.43      1  78        0         0
#> 97    19.14      1  65        0         1
#> 68    20.62      1  44        0         0
#> 61.1  10.12      1  36        0         1
#> 61.2  10.12      1  36        0         1
#> 90.1  20.94      1  50        0         1
#> 61.3  10.12      1  36        0         1
#> 117.1 17.46      1  26        0         1
#> 119   24.00      0  17        0         0
#> 62    24.00      0  71        0         0
#> 146   24.00      0  63        1         0
#> 3     24.00      0  31        1         0
#> 21    24.00      0  47        0         0
#> 3.1   24.00      0  31        1         0
#> 152   24.00      0  36        0         1
#> 174   24.00      0  49        1         0
#> 160   24.00      0  31        1         0
#> 65    24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 31    24.00      0  36        0         1
#> 83    24.00      0   6        0         0
#> 9     24.00      0  31        1         0
#> 191   24.00      0  60        0         1
#> 1     24.00      0  23        1         0
#> 152.1 24.00      0  36        0         1
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 33    24.00      0  53        0         0
#> 116   24.00      0  58        0         1
#> 12    24.00      0  63        0         0
#> 200   24.00      0  64        0         0
#> 121   24.00      0  57        1         0
#> 173   24.00      0  19        0         1
#> 141   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 1.1   24.00      0  23        1         0
#> 47    24.00      0  38        0         1
#> 144   24.00      0  28        0         1
#> 141.1 24.00      0  44        1         0
#> 2     24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 47.1  24.00      0  38        0         1
#> 31.1  24.00      0  36        0         1
#> 71    24.00      0  51        0         0
#> 83.1  24.00      0   6        0         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 53.1  24.00      0  32        0         1
#> 80    24.00      0  41        0         0
#> 3.2   24.00      0  31        1         0
#> 193   24.00      0  45        0         1
#> 165   24.00      0  47        0         0
#> 95    24.00      0  68        0         1
#> 112   24.00      0  61        0         0
#> 19    24.00      0  57        0         1
#> 3.3   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 163   24.00      0  66        0         0
#> 9.1   24.00      0  31        1         0
#> 47.2  24.00      0  38        0         1
#> 173.1 24.00      0  19        0         1
#> 173.2 24.00      0  19        0         1
#> 143   24.00      0  51        0         0
#> 3.4   24.00      0  31        1         0
#> 104   24.00      0  50        1         0
#> 75.1  24.00      0  21        1         0
#> 47.3  24.00      0  38        0         1
#> 19.1  24.00      0  57        0         1
#> 161   24.00      0  45        0         0
#> 109   24.00      0  48        0         0
#> 27    24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 141.2 24.00      0  44        1         0
#> 21.1  24.00      0  47        0         0
#> 74    24.00      0  43        0         1
#> 112.1 24.00      0  61        0         0
#> 162   24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 83.2  24.00      0   6        0         0
#> 11.1  24.00      0  42        0         1
#> 87    24.00      0  27        0         0
#> 121.1 24.00      0  57        1         0
#> 116.1 24.00      0  58        0         1
#> 83.3  24.00      0   6        0         0
#> 1.2   24.00      0  23        1         0
#> 138   24.00      0  44        1         0
#> 174.1 24.00      0  49        1         0
#> 35    24.00      0  51        0         0
#> 151   24.00      0  42        0         0
#> 20    24.00      0  46        1         0
#> 132   24.00      0  55        0         0
#> 144.1 24.00      0  28        0         1
#> 198   24.00      0  66        0         1
#> 163.1 24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 95.1  24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.897         NA        NA      NA
#> 2 age, Cure model           0.0198        NA        NA      NA
#> 3 grade_ii, Cure model      0.269         NA        NA      NA
#> 4 grade_iii, Cure model     0.291         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00233        NA        NA      NA
#> 2 grade_ii, Survival model   0.374          NA        NA      NA
#> 3 grade_iii, Survival model  0.604          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.89695           0.01977           0.26911           0.29142  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 258 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.89694878       0.01977144       0.26910661       0.29142172 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.002326277      0.373837713      0.604250892 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.661439343 0.464534490 0.746002799 0.762659510 0.369965990 0.270598731
#>   [7] 0.100128527 0.926748702 0.704027774 0.144443563 0.029361846 0.050860386
#>  [13] 0.926748702 0.670029612 0.626563255 0.985540999 0.116201576 0.819340944
#>  [19] 0.827370956 0.320637789 0.217680693 0.926748702 0.301200954 0.963499713
#>  [25] 0.249825387 0.182071678 0.464534490 0.787321654 0.919239607 0.591398551
#>  [31] 0.398651340 0.217680693 0.652780041 0.762659510 0.350156985 0.340200242
#>  [37] 0.858774366 0.144443563 0.827370956 0.360150766 0.492712122 0.600249578
#>  [43] 0.320637789 0.926748702 0.795503824 0.911696544 0.067426384 0.843163500
#>  [49] 0.547173616 0.217680693 0.408224038 0.704027774 0.084328274 0.009848042
#>  [55] 0.687144030 0.843163500 0.729244019 0.729244019 0.687144030 0.445540971
#>  [61] 0.985540999 0.609111104 0.369965990 0.978221835 0.510808754 0.301200954
#>  [67] 0.678583654 0.795503824 0.270598731 0.182071678 0.408224038 0.144443563
#>  [73] 0.547173616 0.779089197 0.970870339 0.888969679 0.956097047 0.408224038
#>  [79] 0.483327859 0.116201576 0.537949321 0.746002799 0.644045661 0.888969679
#>  [85] 0.547173616 0.510808754 0.547173616 0.582460848 0.795503824 0.609111104
#>  [91] 0.635321041 0.182071678 0.408224038 0.455073562 0.704027774 0.904133001
#>  [97] 0.510808754 0.389100001 0.290854564 0.858774366 0.858774366 0.249825387
#> [103] 0.858774366 0.492712122 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    13   184    37    42    55    32    15   149    14   139    78    69 149.1 
#> 14.34 17.77 12.52 12.43 19.34 20.90 22.68  8.37 12.89 21.49 23.88 23.23  8.37 
#>    60   125   127   197    10    52   150    36 149.2   128    77    90   153 
#> 13.15 15.65  3.53 21.60 10.53 10.42 20.33 21.19  8.37 20.35  7.27 20.94 21.33 
#> 184.1    43    16   181   179    99    57  42.1   105   166    61 139.1  52.1 
#> 17.77 12.10  8.71 16.46 18.63 21.19 14.46 12.43 19.75 19.98 10.12 21.49 10.42 
#>   170   117    85 150.1 149.3   159   187   113    93   106  99.1    88  14.1 
#> 19.54 17.46 16.44 20.33  8.37 10.55  9.92 22.86 10.33 16.67 21.19 18.37 12.89 
#>    63    24   123  93.1   154 154.1 123.1    51 127.1    79    58    91    30 
#> 22.77 23.89 13.00 10.33 12.63 12.63 13.00 18.23  3.53 16.23 19.34  5.33 17.43 
#> 128.1   155 159.1  32.1 153.1  88.1 139.2 106.1    49    25   145    70  88.2 
#> 20.35 13.08 10.55 20.90 21.33 18.37 21.49 16.67 12.19  6.32 10.07  7.38 18.37 
#>   110 197.1    23  37.1   180 145.1 106.2  30.1 106.3   171 159.2  79.1   167 
#> 17.56 21.60 16.92 12.52 14.82 10.07 16.67 17.43 16.67 16.57 10.55 16.23 15.55 
#> 153.2  88.3    40  14.2   101  30.2    97    68  61.1  61.2  90.1  61.3 117.1 
#> 21.33 18.37 18.00 12.89  9.97 17.43 19.14 20.62 10.12 10.12 20.94 10.12 17.46 
#>   119    62   146     3    21   3.1   152   174   160    65    53    31    83 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>     9   191     1 152.1    11    33   116    12   200   121   173   141   118 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1    47   144 141.1     2   120  47.1  31.1    71  83.1   126    75  53.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    80   3.2   193   165    95   112    19   3.3    67   163   9.1  47.2 173.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 173.2   143   3.4   104  75.1  47.3  19.1   161   109    27    54 141.2  21.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    74 112.1   162   103  83.2  11.1    87 121.1 116.1  83.3   1.2   138 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35   151    20   132 144.1   198 163.1   176  95.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[94]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.009607467               0.975756162               0.411323706 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>              0.49817969             -0.01249189              0.13458413 
#>   grade_iii, Cure model 
#>              0.62922589 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 49    12.19      1  48        1         0
#> 79    16.23      1  54        1         0
#> 88    18.37      1  47        0         0
#> 114   13.68      1  NA        0         0
#> 177   12.53      1  75        0         0
#> 140   12.68      1  59        1         0
#> 106   16.67      1  49        1         0
#> 107   11.18      1  54        1         0
#> 70     7.38      1  30        1         0
#> 150   20.33      1  48        0         0
#> 175   21.91      1  43        0         0
#> 170   19.54      1  43        0         1
#> 113   22.86      1  34        0         0
#> 58    19.34      1  39        0         0
#> 154   12.63      1  20        1         0
#> 76    19.22      1  54        0         1
#> 108   18.29      1  39        0         1
#> 117   17.46      1  26        0         1
#> 136   21.83      1  43        0         1
#> 111   17.45      1  47        0         1
#> 92    22.92      1  47        0         1
#> 166   19.98      1  48        0         0
#> 89    11.44      1  NA        0         0
#> 105   19.75      1  60        0         0
#> 170.1 19.54      1  43        0         1
#> 13    14.34      1  54        0         1
#> 99    21.19      1  38        0         1
#> 69    23.23      1  25        0         1
#> 6     15.64      1  39        0         0
#> 168   23.72      1  70        0         0
#> 68    20.62      1  44        0         0
#> 111.1 17.45      1  47        0         1
#> 78    23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 123   13.00      1  44        1         0
#> 15    22.68      1  48        0         0
#> 79.1  16.23      1  54        1         0
#> 99.1  21.19      1  38        0         1
#> 96    14.54      1  33        0         1
#> 154.1 12.63      1  20        1         0
#> 157   15.10      1  47        0         0
#> 177.1 12.53      1  75        0         0
#> 110   17.56      1  65        0         1
#> 101    9.97      1  10        0         1
#> 61    10.12      1  36        0         1
#> 134   17.81      1  47        1         0
#> 45    17.42      1  54        0         1
#> 16     8.71      1  71        0         1
#> 14    12.89      1  21        0         0
#> 166.1 19.98      1  48        0         0
#> 81    14.06      1  34        0         0
#> 105.1 19.75      1  60        0         0
#> 155   13.08      1  26        0         0
#> 45.1  17.42      1  54        0         1
#> 188   16.16      1  46        0         1
#> 159   10.55      1  50        0         1
#> 69.1  23.23      1  25        0         1
#> 30    17.43      1  78        0         0
#> 5     16.43      1  51        0         1
#> 169   22.41      1  46        0         0
#> 189   10.51      1  NA        1         0
#> 37    12.52      1  57        1         0
#> 168.1 23.72      1  70        0         0
#> 187    9.92      1  39        1         0
#> 26    15.77      1  49        0         1
#> 61.1  10.12      1  36        0         1
#> 32    20.90      1  37        1         0
#> 39    15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 157.1 15.10      1  47        0         0
#> 189.1 10.51      1  NA        1         0
#> 145   10.07      1  65        1         0
#> 168.2 23.72      1  70        0         0
#> 50    10.02      1  NA        1         0
#> 89.1  11.44      1  NA        0         0
#> 150.1 20.33      1  48        0         0
#> 18    15.21      1  49        1         0
#> 88.1  18.37      1  47        0         0
#> 69.2  23.23      1  25        0         1
#> 111.2 17.45      1  47        0         1
#> 26.1  15.77      1  49        0         1
#> 111.3 17.45      1  47        0         1
#> 32.1  20.90      1  37        1         0
#> 92.1  22.92      1  47        0         1
#> 117.1 17.46      1  26        0         1
#> 6.1   15.64      1  39        0         0
#> 129   23.41      1  53        1         0
#> 76.1  19.22      1  54        0         1
#> 189.2 10.51      1  NA        1         0
#> 99.2  21.19      1  38        0         1
#> 199   19.81      1  NA        0         1
#> 128   20.35      1  35        0         1
#> 101.1  9.97      1  10        0         1
#> 68.1  20.62      1  44        0         0
#> 42    12.43      1  49        0         1
#> 114.1 13.68      1  NA        0         0
#> 6.2   15.64      1  39        0         0
#> 105.2 19.75      1  60        0         0
#> 101.2  9.97      1  10        0         1
#> 96.1  14.54      1  33        0         1
#> 57    14.46      1  45        0         1
#> 111.4 17.45      1  47        0         1
#> 149    8.37      1  33        1         0
#> 175.1 21.91      1  43        0         0
#> 24    23.89      1  38        0         0
#> 5.1   16.43      1  51        0         1
#> 111.5 17.45      1  47        0         1
#> 179   18.63      1  42        0         0
#> 39.1  15.59      1  37        0         1
#> 158   20.14      1  74        1         0
#> 164   23.60      1  76        0         1
#> 167   15.55      1  56        1         0
#> 161   24.00      0  45        0         0
#> 112   24.00      0  61        0         0
#> 174   24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 198   24.00      0  66        0         1
#> 163   24.00      0  66        0         0
#> 11    24.00      0  42        0         1
#> 172   24.00      0  41        0         0
#> 116.1 24.00      0  58        0         1
#> 47    24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 22    24.00      0  52        1         0
#> 198.1 24.00      0  66        0         1
#> 121   24.00      0  57        1         0
#> 193   24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 162   24.00      0  51        0         0
#> 191   24.00      0  60        0         1
#> 122   24.00      0  66        0         0
#> 156   24.00      0  50        1         0
#> 17    24.00      0  38        0         1
#> 7     24.00      0  37        1         0
#> 2     24.00      0   9        0         0
#> 11.1  24.00      0  42        0         1
#> 131   24.00      0  66        0         0
#> 132   24.00      0  55        0         0
#> 152   24.00      0  36        0         1
#> 137   24.00      0  45        1         0
#> 46    24.00      0  71        0         0
#> 198.2 24.00      0  66        0         1
#> 186   24.00      0  45        1         0
#> 82    24.00      0  34        0         0
#> 2.1   24.00      0   9        0         0
#> 196   24.00      0  19        0         0
#> 148.1 24.00      0  61        1         0
#> 151   24.00      0  42        0         0
#> 131.1 24.00      0  66        0         0
#> 7.1   24.00      0  37        1         0
#> 142   24.00      0  53        0         0
#> 143   24.00      0  51        0         0
#> 198.3 24.00      0  66        0         1
#> 172.1 24.00      0  41        0         0
#> 132.1 24.00      0  55        0         0
#> 65    24.00      0  57        1         0
#> 72    24.00      0  40        0         1
#> 64    24.00      0  43        0         0
#> 75    24.00      0  21        1         0
#> 12    24.00      0  63        0         0
#> 191.1 24.00      0  60        0         1
#> 151.1 24.00      0  42        0         0
#> 146   24.00      0  63        1         0
#> 163.1 24.00      0  66        0         0
#> 12.1  24.00      0  63        0         0
#> 35    24.00      0  51        0         0
#> 47.1  24.00      0  38        0         1
#> 75.1  24.00      0  21        1         0
#> 17.1  24.00      0  38        0         1
#> 47.2  24.00      0  38        0         1
#> 75.2  24.00      0  21        1         0
#> 62    24.00      0  71        0         0
#> 151.2 24.00      0  42        0         0
#> 146.1 24.00      0  63        1         0
#> 64.1  24.00      0  43        0         0
#> 116.2 24.00      0  58        0         1
#> 160   24.00      0  31        1         0
#> 67    24.00      0  25        0         0
#> 35.1  24.00      0  51        0         0
#> 46.1  24.00      0  71        0         0
#> 115   24.00      0  NA        1         0
#> 22.1  24.00      0  52        1         0
#> 7.2   24.00      0  37        1         0
#> 71    24.00      0  51        0         0
#> 144   24.00      0  28        0         1
#> 19    24.00      0  57        0         1
#> 31    24.00      0  36        0         1
#> 182   24.00      0  35        0         0
#> 200   24.00      0  64        0         0
#> 44    24.00      0  56        0         0
#> 115.1 24.00      0  NA        1         0
#> 102   24.00      0  49        0         0
#> 84    24.00      0  39        0         1
#> 147   24.00      0  76        1         0
#> 67.1  24.00      0  25        0         0
#> 84.1  24.00      0  39        0         1
#> 62.1  24.00      0  71        0         0
#> 172.2 24.00      0  41        0         0
#> 67.2  24.00      0  25        0         0
#> 116.3 24.00      0  58        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model   0.498         NA        NA      NA
#> 2 age, Cure model          -0.0125        NA        NA      NA
#> 3 grade_ii, Cure model      0.135         NA        NA      NA
#> 4 grade_iii, Cure model     0.629         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00961        NA        NA      NA
#> 2 grade_ii, Survival model   0.976          NA        NA      NA
#> 3 grade_iii, Survival model  0.411          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>          0.49818          -0.01249           0.13458           0.62923  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.5 
#> Residual Deviance: 254.7 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>       0.49817969      -0.01249189       0.13458413       0.62922589 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.009607467      0.975756162      0.411323706 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.874282051 0.579516975 0.375250338 0.834413472 0.804518654 0.538088185
#>   [7] 0.884176414 0.990570478 0.228385873 0.126130457 0.304513570 0.098277672
#>  [13] 0.324304585 0.814720457 0.334454174 0.396137199 0.427537882 0.145488689
#>  [19] 0.447986639 0.081507791 0.256391436 0.275318758 0.304513570 0.753077802
#>  [25] 0.155514672 0.057891006 0.630303012 0.012816254 0.201042328 0.447986639
#>  [31] 0.006129414 0.548436316 0.784007699 0.107278938 0.579516975 0.155514672
#>  [37] 0.722446061 0.814720457 0.702017163 0.834413472 0.417099741 0.933163438
#>  [43] 0.903844914 0.406711519 0.517331246 0.971445339 0.794251079 0.256391436
#>  [49] 0.763351822 0.275318758 0.773664522 0.517331246 0.599773591 0.894007055
#>  [55] 0.057891006 0.506889715 0.558841859 0.116568463 0.854348096 0.012816254
#>  [61] 0.961861805 0.609994145 0.903844914 0.183470025 0.660979352 0.364870469
#>  [67] 0.702017163 0.923384954 0.012816254 0.228385873 0.691835773 0.375250338
#>  [73] 0.057891006 0.447986639 0.609994145 0.447986639 0.183470025 0.081507791
#>  [79] 0.427537882 0.630303012 0.047778082 0.334454174 0.155514672 0.219161287
#>  [85] 0.933163438 0.201042328 0.864311757 0.630303012 0.275318758 0.933163438
#>  [91] 0.722446061 0.742818048 0.447986639 0.981051356 0.126130457 0.001451307
#>  [97] 0.558841859 0.447986639 0.354568185 0.660979352 0.247007487 0.036229106
#> [103] 0.681554990 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    49    79    88   177   140   106   107    70   150   175   170   113    58 
#> 12.19 16.23 18.37 12.53 12.68 16.67 11.18  7.38 20.33 21.91 19.54 22.86 19.34 
#>   154    76   108   117   136   111    92   166   105 170.1    13    99    69 
#> 12.63 19.22 18.29 17.46 21.83 17.45 22.92 19.98 19.75 19.54 14.34 21.19 23.23 
#>     6   168    68 111.1    78    85   123    15  79.1  99.1    96 154.1   157 
#> 15.64 23.72 20.62 17.45 23.88 16.44 13.00 22.68 16.23 21.19 14.54 12.63 15.10 
#> 177.1   110   101    61   134    45    16    14 166.1    81 105.1   155  45.1 
#> 12.53 17.56  9.97 10.12 17.81 17.42  8.71 12.89 19.98 14.06 19.75 13.08 17.42 
#>   188   159  69.1    30     5   169    37 168.1   187    26  61.1    32    39 
#> 16.16 10.55 23.23 17.43 16.43 22.41 12.52 23.72  9.92 15.77 10.12 20.90 15.59 
#>     8 157.1   145 168.2 150.1    18  88.1  69.2 111.2  26.1 111.3  32.1  92.1 
#> 18.43 15.10 10.07 23.72 20.33 15.21 18.37 23.23 17.45 15.77 17.45 20.90 22.92 
#> 117.1   6.1   129  76.1  99.2   128 101.1  68.1    42   6.2 105.2 101.2  96.1 
#> 17.46 15.64 23.41 19.22 21.19 20.35  9.97 20.62 12.43 15.64 19.75  9.97 14.54 
#>    57 111.4   149 175.1    24   5.1 111.5   179  39.1   158   164   167   161 
#> 14.46 17.45  8.37 21.91 23.89 16.43 17.45 18.63 15.59 20.14 23.60 15.55 24.00 
#>   112   174   116   198   163    11   172 116.1    47   148    22 198.1   121 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   193   176   162   191   122   156    17     7     2  11.1   131   132   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   137    46 198.2   186    82   2.1   196 148.1   151 131.1   7.1   142   143 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 198.3 172.1 132.1    65    72    64    75    12 191.1 151.1   146 163.1  12.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    35  47.1  75.1  17.1  47.2  75.2    62 151.2 146.1  64.1 116.2   160    67 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  35.1  46.1  22.1   7.2    71   144    19    31   182   200    44   102    84 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   147  67.1  84.1  62.1 172.2  67.2 116.3 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[95]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>                0.01783832                0.60260657                0.62455611 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>             -0.66231792              0.01301793              0.10265221 
#>   grade_iii, Cure model 
#>              0.59745302 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 63    22.77      1  31        1         0
#> 39    15.59      1  37        0         1
#> 170   19.54      1  43        0         1
#> 23    16.92      1  61        0         0
#> 70     7.38      1  30        1         0
#> 194   22.40      1  38        0         1
#> 190   20.81      1  42        1         0
#> 134   17.81      1  47        1         0
#> 79    16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 155   13.08      1  26        0         0
#> 111   17.45      1  47        0         1
#> 125   15.65      1  67        1         0
#> 6     15.64      1  39        0         0
#> 91     5.33      1  61        0         1
#> 36    21.19      1  48        0         1
#> 70.1   7.38      1  30        1         0
#> 183    9.24      1  67        1         0
#> 140   12.68      1  59        1         0
#> 40    18.00      1  28        1         0
#> 81    14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 113   22.86      1  34        0         0
#> 96    14.54      1  33        0         1
#> 32    20.90      1  37        1         0
#> 107   11.18      1  54        1         0
#> 78    23.88      1  43        0         0
#> 195   11.76      1  NA        1         0
#> 70.2   7.38      1  30        1         0
#> 70.3   7.38      1  30        1         0
#> 52    10.42      1  52        0         1
#> 157   15.10      1  47        0         0
#> 134.1 17.81      1  47        1         0
#> 10    10.53      1  34        0         0
#> 23.1  16.92      1  61        0         0
#> 192   16.44      1  31        1         0
#> 197   21.60      1  69        1         0
#> 16     8.71      1  71        0         1
#> 50    10.02      1  NA        1         0
#> 91.1   5.33      1  61        0         1
#> 5     16.43      1  51        0         1
#> 15    22.68      1  48        0         0
#> 180   14.82      1  37        0         0
#> 25     6.32      1  34        1         0
#> 181   16.46      1  45        0         1
#> 100   16.07      1  60        0         0
#> 105   19.75      1  60        0         0
#> 187    9.92      1  39        1         0
#> 129   23.41      1  53        1         0
#> 127    3.53      1  62        0         1
#> 171   16.57      1  41        0         1
#> 40.1  18.00      1  28        1         0
#> 159   10.55      1  50        0         1
#> 40.2  18.00      1  28        1         0
#> 91.2   5.33      1  61        0         1
#> 41    18.02      1  40        1         0
#> 166   19.98      1  48        0         0
#> 180.1 14.82      1  37        0         0
#> 89    11.44      1  NA        0         0
#> 139   21.49      1  63        1         0
#> 30.1  17.43      1  78        0         0
#> 177   12.53      1  75        0         0
#> 180.2 14.82      1  37        0         0
#> 78.1  23.88      1  43        0         0
#> 180.3 14.82      1  37        0         0
#> 124    9.73      1  NA        1         0
#> 150   20.33      1  48        0         0
#> 39.1  15.59      1  37        0         1
#> 57    14.46      1  45        0         1
#> 78.2  23.88      1  43        0         0
#> 85    16.44      1  36        0         0
#> 90    20.94      1  50        0         1
#> 40.3  18.00      1  28        1         0
#> 52.1  10.42      1  52        0         1
#> 16.1   8.71      1  71        0         1
#> 159.1 10.55      1  50        0         1
#> 16.2   8.71      1  71        0         1
#> 159.2 10.55      1  50        0         1
#> 5.1   16.43      1  51        0         1
#> 37    12.52      1  57        1         0
#> 56    12.21      1  60        0         0
#> 124.1  9.73      1  NA        1         0
#> 171.1 16.57      1  41        0         1
#> 183.1  9.24      1  67        1         0
#> 92    22.92      1  47        0         1
#> 59    10.16      1  NA        1         0
#> 108   18.29      1  39        0         1
#> 61    10.12      1  36        0         1
#> 55    19.34      1  69        0         1
#> 92.1  22.92      1  47        0         1
#> 145   10.07      1  65        1         0
#> 194.1 22.40      1  38        0         1
#> 195.1 11.76      1  NA        1         0
#> 57.1  14.46      1  45        0         1
#> 167   15.55      1  56        1         0
#> 30.2  17.43      1  78        0         0
#> 194.2 22.40      1  38        0         1
#> 89.1  11.44      1  NA        0         0
#> 166.1 19.98      1  48        0         0
#> 89.2  11.44      1  NA        0         0
#> 78.3  23.88      1  43        0         0
#> 184   17.77      1  38        0         0
#> 18    15.21      1  49        1         0
#> 91.3   5.33      1  61        0         1
#> 78.4  23.88      1  43        0         0
#> 170.1 19.54      1  43        0         1
#> 29    15.45      1  68        1         0
#> 149    8.37      1  33        1         0
#> 181.1 16.46      1  45        0         1
#> 153   21.33      1  55        1         0
#> 128   20.35      1  35        0         1
#> 145.1 10.07      1  65        1         0
#> 74    24.00      0  43        0         1
#> 165   24.00      0  47        0         0
#> 12    24.00      0  63        0         0
#> 28    24.00      0  67        1         0
#> 28.1  24.00      0  67        1         0
#> 19    24.00      0  57        0         1
#> 165.1 24.00      0  47        0         0
#> 138   24.00      0  44        1         0
#> 120   24.00      0  68        0         1
#> 186   24.00      0  45        1         0
#> 162   24.00      0  51        0         0
#> 137   24.00      0  45        1         0
#> 104   24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 148   24.00      0  61        1         0
#> 152   24.00      0  36        0         1
#> 38    24.00      0  31        1         0
#> 31    24.00      0  36        0         1
#> 151   24.00      0  42        0         0
#> 191   24.00      0  60        0         1
#> 19.1  24.00      0  57        0         1
#> 3     24.00      0  31        1         0
#> 27    24.00      0  63        1         0
#> 17    24.00      0  38        0         1
#> 174   24.00      0  49        1         0
#> 17.1  24.00      0  38        0         1
#> 11    24.00      0  42        0         1
#> 73    24.00      0  NA        0         1
#> 135   24.00      0  58        1         0
#> 84    24.00      0  39        0         1
#> 193   24.00      0  45        0         1
#> 196   24.00      0  19        0         0
#> 152.1 24.00      0  36        0         1
#> 73.1  24.00      0  NA        0         1
#> 80    24.00      0  41        0         0
#> 75    24.00      0  21        1         0
#> 71    24.00      0  51        0         0
#> 28.2  24.00      0  67        1         0
#> 173   24.00      0  19        0         1
#> 120.1 24.00      0  68        0         1
#> 31.1  24.00      0  36        0         1
#> 35    24.00      0  51        0         0
#> 176   24.00      0  43        0         1
#> 185   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 67    24.00      0  25        0         0
#> 146   24.00      0  63        1         0
#> 102   24.00      0  49        0         0
#> 142   24.00      0  53        0         0
#> 82    24.00      0  34        0         0
#> 165.2 24.00      0  47        0         0
#> 65    24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 103   24.00      0  56        1         0
#> 165.3 24.00      0  47        0         0
#> 84.1  24.00      0  39        0         1
#> 82.1  24.00      0  34        0         0
#> 71.1  24.00      0  51        0         0
#> 83    24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 126   24.00      0  48        0         0
#> 112   24.00      0  61        0         0
#> 137.1 24.00      0  45        1         0
#> 65.1  24.00      0  57        1         0
#> 160   24.00      0  31        1         0
#> 11.1  24.00      0  42        0         1
#> 82.2  24.00      0  34        0         0
#> 27.1  24.00      0  63        1         0
#> 162.1 24.00      0  51        0         0
#> 131   24.00      0  66        0         0
#> 122   24.00      0  66        0         0
#> 2     24.00      0   9        0         0
#> 7     24.00      0  37        1         0
#> 65.2  24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 172.1 24.00      0  41        0         0
#> 38.1  24.00      0  31        1         0
#> 22    24.00      0  52        1         0
#> 137.2 24.00      0  45        1         0
#> 196.1 24.00      0  19        0         0
#> 132.1 24.00      0  55        0         0
#> 191.1 24.00      0  60        0         1
#> 54    24.00      0  53        1         0
#> 121   24.00      0  57        1         0
#> 53    24.00      0  32        0         1
#> 152.2 24.00      0  36        0         1
#> 64.1  24.00      0  43        0         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  -0.662         NA        NA      NA
#> 2 age, Cure model           0.0130        NA        NA      NA
#> 3 grade_ii, Cure model      0.103         NA        NA      NA
#> 4 grade_iii, Cure model     0.597         NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model         0.0178        NA        NA      NA
#> 2 grade_ii, Survival model    0.603         NA        NA      NA
#> 3 grade_iii, Survival model   0.625         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.66232           0.01302           0.10265           0.59745  
#> 
#> Degrees of Freedom: 187 Total (i.e. Null);  184 Residual
#> Null Deviance:	    259.3 
#> Residual Deviance: 254.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>      -0.66231792       0.01301793       0.10265221       0.59745302 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>       0.01783832       0.60260657       0.62455611 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.5059069 0.8505780 0.6893334 0.7858904 0.9737803 0.5404882 0.6410686
#>   [8] 0.7475706 0.8334473 0.9040913 0.7647392 0.8421542 0.8463767 0.9872551
#>  [15] 0.6132824 0.9737803 0.9567976 0.9077173 0.7236550 0.9004568 0.7703106
#>  [22] 0.4867755 0.8894342 0.6321948 0.9217301 0.2639638 0.9737803 0.9737803
#>  [29] 0.9381704 0.8705610 0.7475706 0.9349088 0.7858904 0.8152755 0.5800139
#>  [36] 0.9626583 0.9872551 0.8245435 0.5235839 0.8744049 0.9845651 0.8058426
#>  [43] 0.8378224 0.6816376 0.9537693 0.4199745 0.9974673 0.7960465 0.7236550
#>  [50] 0.9251296 0.7236550 0.9872551 0.7171638 0.6659964 0.8744049 0.5920318
#>  [57] 0.7703106 0.9112830 0.8744049 0.2639638 0.8744049 0.6578693 0.8505780
#>  [64] 0.8931779 0.2639638 0.8152755 0.6229936 0.7236550 0.9381704 0.9626583
#>  [71] 0.9251296 0.9626583 0.9251296 0.8245435 0.9148098 0.9182825 0.7960465
#>  [78] 0.9567976 0.4480203 0.7105082 0.9445184 0.7036770 0.4480203 0.9476706
#>  [85] 0.5404882 0.8931779 0.8587495 0.7703106 0.5404882 0.6659964 0.2639638
#>  [92] 0.7590298 0.8666946 0.9872551 0.2639638 0.6893334 0.8627691 0.9710075
#>  [99] 0.8058426 0.6030192 0.6496040 0.9476706 0.0000000 0.0000000 0.0000000
#> [106] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [113] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [120] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [127] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [134] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [141] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [148] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [155] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [162] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [169] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [176] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> [183] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
#> 
#> $Time
#>    63    39   170    23    70   194   190   134    79   155   111   125     6 
#> 22.77 15.59 19.54 16.92  7.38 22.40 20.81 17.81 16.23 13.08 17.45 15.65 15.64 
#>    91    36  70.1   183   140    40    81    30   113    96    32   107    78 
#>  5.33 21.19  7.38  9.24 12.68 18.00 14.06 17.43 22.86 14.54 20.90 11.18 23.88 
#>  70.2  70.3    52   157 134.1    10  23.1   192   197    16  91.1     5    15 
#>  7.38  7.38 10.42 15.10 17.81 10.53 16.92 16.44 21.60  8.71  5.33 16.43 22.68 
#>   180    25   181   100   105   187   129   127   171  40.1   159  40.2  91.2 
#> 14.82  6.32 16.46 16.07 19.75  9.92 23.41  3.53 16.57 18.00 10.55 18.00  5.33 
#>    41   166 180.1   139  30.1   177 180.2  78.1 180.3   150  39.1    57  78.2 
#> 18.02 19.98 14.82 21.49 17.43 12.53 14.82 23.88 14.82 20.33 15.59 14.46 23.88 
#>    85    90  40.3  52.1  16.1 159.1  16.2 159.2   5.1    37    56 171.1 183.1 
#> 16.44 20.94 18.00 10.42  8.71 10.55  8.71 10.55 16.43 12.52 12.21 16.57  9.24 
#>    92   108    61    55  92.1   145 194.1  57.1   167  30.2 194.2 166.1  78.3 
#> 22.92 18.29 10.12 19.34 22.92 10.07 22.40 14.46 15.55 17.43 22.40 19.98 23.88 
#>   184    18  91.3  78.4 170.1    29   149 181.1   153   128 145.1    74   165 
#> 17.77 15.21  5.33 23.88 19.54 15.45  8.37 16.46 21.33 20.35 10.07 24.00 24.00 
#>    12    28  28.1    19 165.1   138   120   186   162   137   104   172   148 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   152    38    31   151   191  19.1     3    27    17   174  17.1    11   135 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   193   196 152.1    80    75    71  28.2   173 120.1  31.1    35   176 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   185   118    67   146   102   142    82 165.2    65    64   103 165.3  84.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  82.1  71.1    83   132   141   126   112 137.1  65.1   160  11.1  82.2  27.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 162.1   131   122     2     7  65.2     9 172.1  38.1    22 137.2 196.1 132.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 191.1    54   121    53 152.2  64.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[96]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01505796                0.87016142                0.31967555 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.404834679             0.008740368            -0.282943801 
#>   grade_iii, Cure model 
#>             0.795565822 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 91     5.33      1  61        0         1
#> 154   12.63      1  20        1         0
#> 197   21.60      1  69        1         0
#> 170   19.54      1  43        0         1
#> 61    10.12      1  36        0         1
#> 51    18.23      1  83        0         1
#> 149    8.37      1  33        1         0
#> 195   11.76      1  NA        1         0
#> 106   16.67      1  49        1         0
#> 194   22.40      1  38        0         1
#> 69    23.23      1  25        0         1
#> 77     7.27      1  67        0         1
#> 29    15.45      1  68        1         0
#> 61.1  10.12      1  36        0         1
#> 140   12.68      1  59        1         0
#> 76    19.22      1  54        0         1
#> 194.1 22.40      1  38        0         1
#> 68    20.62      1  44        0         0
#> 170.1 19.54      1  43        0         1
#> 139   21.49      1  63        1         0
#> 50    10.02      1  NA        1         0
#> 124    9.73      1  NA        1         0
#> 128   20.35      1  35        0         1
#> 23    16.92      1  61        0         0
#> 100   16.07      1  60        0         0
#> 25     6.32      1  34        1         0
#> 52    10.42      1  52        0         1
#> 86    23.81      1  58        0         1
#> 57    14.46      1  45        0         1
#> 86.1  23.81      1  58        0         1
#> 197.1 21.60      1  69        1         0
#> 187    9.92      1  39        1         0
#> 43    12.10      1  61        0         1
#> 15    22.68      1  48        0         0
#> 136   21.83      1  43        0         1
#> 153   21.33      1  55        1         0
#> 113   22.86      1  34        0         0
#> 41    18.02      1  40        1         0
#> 29.1  15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 125   15.65      1  67        1         0
#> 5     16.43      1  51        0         1
#> 15.1  22.68      1  48        0         0
#> 88    18.37      1  47        0         0
#> 140.1 12.68      1  59        1         0
#> 195.1 11.76      1  NA        1         0
#> 59    10.16      1  NA        1         0
#> 187.1  9.92      1  39        1         0
#> 133   14.65      1  57        0         0
#> 78    23.88      1  43        0         0
#> 36    21.19      1  48        0         1
#> 86.2  23.81      1  58        0         1
#> 14    12.89      1  21        0         0
#> 96    14.54      1  33        0         1
#> 14.1  12.89      1  21        0         0
#> 92    22.92      1  47        0         1
#> 39    15.59      1  37        0         1
#> 97    19.14      1  65        0         1
#> 101    9.97      1  10        0         1
#> 10    10.53      1  34        0         0
#> 24    23.89      1  38        0         0
#> 175   21.91      1  43        0         0
#> 58    19.34      1  39        0         0
#> 23.1  16.92      1  61        0         0
#> 63    22.77      1  31        1         0
#> 108   18.29      1  39        0         1
#> 85    16.44      1  36        0         0
#> 43.1  12.10      1  61        0         1
#> 15.2  22.68      1  48        0         0
#> 41.1  18.02      1  40        1         0
#> 180   14.82      1  37        0         0
#> 159   10.55      1  50        0         1
#> 164   23.60      1  76        0         1
#> 180.1 14.82      1  37        0         0
#> 79    16.23      1  54        1         0
#> 114   13.68      1  NA        0         0
#> 25.1   6.32      1  34        1         0
#> 97.1  19.14      1  65        0         1
#> 124.1  9.73      1  NA        1         0
#> 39.1  15.59      1  37        0         1
#> 24.1  23.89      1  38        0         0
#> 157   15.10      1  47        0         0
#> 177   12.53      1  75        0         0
#> 99.1  21.19      1  38        0         1
#> 39.2  15.59      1  37        0         1
#> 30    17.43      1  78        0         0
#> 86.3  23.81      1  58        0         1
#> 101.1  9.97      1  10        0         1
#> 153.1 21.33      1  55        1         0
#> 150   20.33      1  48        0         0
#> 124.2  9.73      1  NA        1         0
#> 79.1  16.23      1  54        1         0
#> 164.1 23.60      1  76        0         1
#> 154.1 12.63      1  20        1         0
#> 43.2  12.10      1  61        0         1
#> 70     7.38      1  30        1         0
#> 70.1   7.38      1  30        1         0
#> 39.3  15.59      1  37        0         1
#> 93    10.33      1  52        0         1
#> 168   23.72      1  70        0         0
#> 10.1  10.53      1  34        0         0
#> 171   16.57      1  41        0         1
#> 93.1  10.33      1  52        0         1
#> 97.2  19.14      1  65        0         1
#> 140.2 12.68      1  59        1         0
#> 68.1  20.62      1  44        0         0
#> 16     8.71      1  71        0         1
#> 93.2  10.33      1  52        0         1
#> 14.2  12.89      1  21        0         0
#> 183    9.24      1  67        1         0
#> 155   13.08      1  26        0         0
#> 181   16.46      1  45        0         1
#> 144   24.00      0  28        0         1
#> 174   24.00      0  49        1         0
#> 115   24.00      0  NA        1         0
#> 65    24.00      0  57        1         0
#> 196   24.00      0  19        0         0
#> 83    24.00      0   6        0         0
#> 156   24.00      0  50        1         0
#> 27    24.00      0  63        1         0
#> 71    24.00      0  51        0         0
#> 62    24.00      0  71        0         0
#> 31    24.00      0  36        0         1
#> 120   24.00      0  68        0         1
#> 83.1  24.00      0   6        0         0
#> 33    24.00      0  53        0         0
#> 20    24.00      0  46        1         0
#> 94    24.00      0  51        0         1
#> 44    24.00      0  56        0         0
#> 22    24.00      0  52        1         0
#> 109   24.00      0  48        0         0
#> 27.1  24.00      0  63        1         0
#> 71.1  24.00      0  51        0         0
#> 193   24.00      0  45        0         1
#> 176   24.00      0  43        0         1
#> 48    24.00      0  31        1         0
#> 20.1  24.00      0  46        1         0
#> 67    24.00      0  25        0         0
#> 35    24.00      0  51        0         0
#> 27.2  24.00      0  63        1         0
#> 67.1  24.00      0  25        0         0
#> 12    24.00      0  63        0         0
#> 98    24.00      0  34        1         0
#> 109.1 24.00      0  48        0         0
#> 38    24.00      0  31        1         0
#> 2     24.00      0   9        0         0
#> 20.2  24.00      0  46        1         0
#> 64    24.00      0  43        0         0
#> 82    24.00      0  34        0         0
#> 11    24.00      0  42        0         1
#> 121   24.00      0  57        1         0
#> 142   24.00      0  53        0         0
#> 120.1 24.00      0  68        0         1
#> 144.1 24.00      0  28        0         1
#> 7     24.00      0  37        1         0
#> 102   24.00      0  49        0         0
#> 151   24.00      0  42        0         0
#> 2.1   24.00      0   9        0         0
#> 146   24.00      0  63        1         0
#> 28    24.00      0  67        1         0
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 103   24.00      0  56        1         0
#> 95    24.00      0  68        0         1
#> 174.1 24.00      0  49        1         0
#> 193.1 24.00      0  45        0         1
#> 34    24.00      0  36        0         0
#> 178.1 24.00      0  52        1         0
#> 34.1  24.00      0  36        0         0
#> 200   24.00      0  64        0         0
#> 31.1  24.00      0  36        0         1
#> 27.3  24.00      0  63        1         0
#> 82.1  24.00      0  34        0         0
#> 174.2 24.00      0  49        1         0
#> 116   24.00      0  58        0         1
#> 152   24.00      0  36        0         1
#> 144.2 24.00      0  28        0         1
#> 141   24.00      0  44        1         0
#> 64.1  24.00      0  43        0         0
#> 7.1   24.00      0  37        1         0
#> 174.3 24.00      0  49        1         0
#> 44.1  24.00      0  56        0         0
#> 54    24.00      0  53        1         0
#> 198   24.00      0  66        0         1
#> 72    24.00      0  40        0         1
#> 31.2  24.00      0  36        0         1
#> 54.1  24.00      0  53        1         0
#> 118   24.00      0  44        1         0
#> 143   24.00      0  51        0         0
#> 27.4  24.00      0  63        1         0
#> 47    24.00      0  38        0         1
#> 143.1 24.00      0  51        0         0
#> 98.1  24.00      0  34        1         0
#> 156.1 24.00      0  50        1         0
#> 174.4 24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 38.1  24.00      0  31        1         0
#> 87    24.00      0  27        0         0
#> 118.1 24.00      0  44        1         0
#> 120.2 24.00      0  68        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.405          NA        NA      NA
#> 2 age, Cure model          0.00874        NA        NA      NA
#> 3 grade_ii, Cure model    -0.283          NA        NA      NA
#> 4 grade_iii, Cure model    0.796          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0151        NA        NA      NA
#> 2 grade_ii, Survival model    0.870         NA        NA      NA
#> 3 grade_iii, Survival model   0.320         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>         -0.40483           0.00874          -0.28294           0.79557  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.3 
#> Residual Deviance: 252.8 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.404834679      0.008740368     -0.282943801      0.795565822 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01505796       0.87016142       0.31967555 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.987522965 0.653511954 0.103053747 0.196378157 0.811822868 0.278878246
#>   [7] 0.912905405 0.338948836 0.074496973 0.031911339 0.950318301 0.478293711
#>  [13] 0.811822868 0.617814423 0.222498260 0.074496973 0.163202350 0.196378157
#>  [19] 0.117923046 0.179426987 0.318371488 0.413200902 0.962866013 0.761720862
#>  [25] 0.006244375 0.558364600 0.006244375 0.103053747 0.862514735 0.688798636
#>  [31] 0.055754585 0.095507265 0.125646275 0.043527501 0.288940626 0.478293711
#>  [37] 0.140544097 0.424143278 0.381121140 0.055754585 0.259267718 0.617814423
#>  [43] 0.862514735 0.534846466 0.003408678 0.140544097 0.006244375 0.582154734
#>  [49] 0.546584985 0.582154734 0.037574528 0.435122356 0.231575797 0.837239448
#>  [55] 0.737055261 0.000579354 0.088124056 0.213562743 0.318371488 0.049826509
#>  [61] 0.269031017 0.370415631 0.688798636 0.055754585 0.288940626 0.511913821
#>  [67] 0.724783505 0.021684476 0.511913821 0.391936415 0.962866013 0.231575797
#>  [73] 0.435122356 0.000579354 0.500536408 0.676874367 0.140544097 0.435122356
#>  [79] 0.308308514 0.006244375 0.837239448 0.125646275 0.187804152 0.391936415
#>  [85] 0.021684476 0.653511954 0.688798636 0.925550341 0.925550341 0.435122356
#>  [91] 0.774230880 0.017184792 0.737055261 0.349353240 0.774230880 0.231575797
#>  [97] 0.617814423 0.163202350 0.900180727 0.774230880 0.582154734 0.887550208
#> [103] 0.570219471 0.359838061 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    91   154   197   170    61    51   149   106   194    69    77    29  61.1 
#>  5.33 12.63 21.60 19.54 10.12 18.23  8.37 16.67 22.40 23.23  7.27 15.45 10.12 
#>   140    76 194.1    68 170.1   139   128    23   100    25    52    86    57 
#> 12.68 19.22 22.40 20.62 19.54 21.49 20.35 16.92 16.07  6.32 10.42 23.81 14.46 
#>  86.1 197.1   187    43    15   136   153   113    41  29.1    99   125     5 
#> 23.81 21.60  9.92 12.10 22.68 21.83 21.33 22.86 18.02 15.45 21.19 15.65 16.43 
#>  15.1    88 140.1 187.1   133    78    36  86.2    14    96  14.1    92    39 
#> 22.68 18.37 12.68  9.92 14.65 23.88 21.19 23.81 12.89 14.54 12.89 22.92 15.59 
#>    97   101    10    24   175    58  23.1    63   108    85  43.1  15.2  41.1 
#> 19.14  9.97 10.53 23.89 21.91 19.34 16.92 22.77 18.29 16.44 12.10 22.68 18.02 
#>   180   159   164 180.1    79  25.1  97.1  39.1  24.1   157   177  99.1  39.2 
#> 14.82 10.55 23.60 14.82 16.23  6.32 19.14 15.59 23.89 15.10 12.53 21.19 15.59 
#>    30  86.3 101.1 153.1   150  79.1 164.1 154.1  43.2    70  70.1  39.3    93 
#> 17.43 23.81  9.97 21.33 20.33 16.23 23.60 12.63 12.10  7.38  7.38 15.59 10.33 
#>   168  10.1   171  93.1  97.2 140.2  68.1    16  93.2  14.2   183   155   181 
#> 23.72 10.53 16.57 10.33 19.14 12.68 20.62  8.71 10.33 12.89  9.24 13.08 16.46 
#>   144   174    65   196    83   156    27    71    62    31   120  83.1    33 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    20    94    44    22   109  27.1  71.1   193   176    48  20.1    67    35 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  27.2  67.1    12    98 109.1    38     2  20.2    64    82    11   121   142 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 120.1 144.1     7   102   151   2.1   146    28    84   178   103    95 174.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 193.1    34 178.1  34.1   200  31.1  27.3  82.1 174.2   116   152 144.2   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  64.1   7.1 174.3  44.1    54   198    72  31.2  54.1   118   143  27.4    47 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 143.1  98.1 156.1 174.4   165  38.1    87 118.1 120.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[97]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               0.002911643               0.808513222               0.804478975 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.518362640             0.011675961            -0.006131798 
#>   grade_iii, Cure model 
#>             0.589265350 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 129   23.41      1  53        1         0
#> 100   16.07      1  60        0         0
#> 194   22.40      1  38        0         1
#> 56    12.21      1  60        0         0
#> 68    20.62      1  44        0         0
#> 113   22.86      1  34        0         0
#> 78    23.88      1  43        0         0
#> 55    19.34      1  69        0         1
#> 32    20.90      1  37        1         0
#> 189   10.51      1  NA        1         0
#> 15    22.68      1  48        0         0
#> 197   21.60      1  69        1         0
#> 41    18.02      1  40        1         0
#> 117   17.46      1  26        0         1
#> 107   11.18      1  54        1         0
#> 40    18.00      1  28        1         0
#> 154   12.63      1  20        1         0
#> 195   11.76      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 85    16.44      1  36        0         0
#> 41.1  18.02      1  40        1         0
#> 56.1  12.21      1  60        0         0
#> 13    14.34      1  54        0         1
#> 187    9.92      1  39        1         0
#> 127    3.53      1  62        0         1
#> 61    10.12      1  36        0         1
#> 61.1  10.12      1  36        0         1
#> 128   20.35      1  35        0         1
#> 42    12.43      1  49        0         1
#> 42.1  12.43      1  49        0         1
#> 123   13.00      1  44        1         0
#> 108   18.29      1  39        0         1
#> 96    14.54      1  33        0         1
#> 36    21.19      1  48        0         1
#> 91     5.33      1  61        0         1
#> 42.2  12.43      1  49        0         1
#> 157   15.10      1  47        0         0
#> 130   16.47      1  53        0         1
#> 68.1  20.62      1  44        0         0
#> 14    12.89      1  21        0         0
#> 29    15.45      1  68        1         0
#> 99    21.19      1  38        0         1
#> 29.1  15.45      1  68        1         0
#> 13.1  14.34      1  54        0         1
#> 113.1 22.86      1  34        0         0
#> 150   20.33      1  48        0         0
#> 158   20.14      1  74        1         0
#> 4     17.64      1  NA        0         1
#> 41.2  18.02      1  40        1         0
#> 24    23.89      1  38        0         0
#> 150.1 20.33      1  48        0         0
#> 68.2  20.62      1  44        0         0
#> 76    19.22      1  54        0         1
#> 39    15.59      1  37        0         1
#> 8     18.43      1  32        0         0
#> 45    17.42      1  54        0         1
#> 150.2 20.33      1  48        0         0
#> 79    16.23      1  54        1         0
#> 100.1 16.07      1  60        0         0
#> 63    22.77      1  31        1         0
#> 123.1 13.00      1  44        1         0
#> 89    11.44      1  NA        0         0
#> 166   19.98      1  48        0         0
#> 92    22.92      1  47        0         1
#> 39.1  15.59      1  37        0         1
#> 155   13.08      1  26        0         0
#> 181   16.46      1  45        0         1
#> 184   17.77      1  38        0         0
#> 140   12.68      1  59        1         0
#> 16     8.71      1  71        0         1
#> 16.1   8.71      1  71        0         1
#> 25     6.32      1  34        1         0
#> 108.1 18.29      1  39        0         1
#> 51    18.23      1  83        0         1
#> 170   19.54      1  43        0         1
#> 40.1  18.00      1  28        1         0
#> 157.1 15.10      1  47        0         0
#> 97    19.14      1  65        0         1
#> 149    8.37      1  33        1         0
#> 190   20.81      1  42        1         0
#> 8.1   18.43      1  32        0         0
#> 37    12.52      1  57        1         0
#> 49    12.19      1  48        1         0
#> 59    10.16      1  NA        1         0
#> 77     7.27      1  67        0         1
#> 107.1 11.18      1  54        1         0
#> 55.1  19.34      1  69        0         1
#> 36.1  21.19      1  48        0         1
#> 192   16.44      1  31        1         0
#> 180   14.82      1  37        0         0
#> 13.2  14.34      1  54        0         1
#> 166.1 19.98      1  48        0         0
#> 16.2   8.71      1  71        0         1
#> 168.1 23.72      1  70        0         0
#> 153   21.33      1  55        1         0
#> 183    9.24      1  67        1         0
#> 113.2 22.86      1  34        0         0
#> 124    9.73      1  NA        1         0
#> 56.2  12.21      1  60        0         0
#> 68.3  20.62      1  44        0         0
#> 51.1  18.23      1  83        0         1
#> 114   13.68      1  NA        0         0
#> 96.1  14.54      1  33        0         1
#> 106   16.67      1  49        1         0
#> 68.4  20.62      1  44        0         0
#> 45.1  17.42      1  54        0         1
#> 123.2 13.00      1  44        1         0
#> 68.5  20.62      1  44        0         0
#> 66    22.13      1  53        0         0
#> 169   22.41      1  46        0         0
#> 140.1 12.68      1  59        1         0
#> 49.1  12.19      1  48        1         0
#> 27    24.00      0  63        1         0
#> 7     24.00      0  37        1         0
#> 116   24.00      0  58        0         1
#> 121   24.00      0  57        1         0
#> 82    24.00      0  34        0         0
#> 95    24.00      0  68        0         1
#> 156   24.00      0  50        1         0
#> 200   24.00      0  64        0         0
#> 121.1 24.00      0  57        1         0
#> 64    24.00      0  43        0         0
#> 156.1 24.00      0  50        1         0
#> 21    24.00      0  47        0         0
#> 112   24.00      0  61        0         0
#> 103   24.00      0  56        1         0
#> 31    24.00      0  36        0         1
#> 122   24.00      0  66        0         0
#> 176   24.00      0  43        0         1
#> 118   24.00      0  44        1         0
#> 104   24.00      0  50        1         0
#> 74    24.00      0  43        0         1
#> 17    24.00      0  38        0         1
#> 173   24.00      0  19        0         1
#> 104.1 24.00      0  50        1         0
#> 122.1 24.00      0  66        0         0
#> 87    24.00      0  27        0         0
#> 83    24.00      0   6        0         0
#> 21.1  24.00      0  47        0         0
#> 1     24.00      0  23        1         0
#> 126   24.00      0  48        0         0
#> 35    24.00      0  51        0         0
#> 98    24.00      0  34        1         0
#> 118.1 24.00      0  44        1         0
#> 109   24.00      0  48        0         0
#> 103.1 24.00      0  56        1         0
#> 104.2 24.00      0  50        1         0
#> 46    24.00      0  71        0         0
#> 174   24.00      0  49        1         0
#> 165   24.00      0  47        0         0
#> 148   24.00      0  61        1         0
#> 144   24.00      0  28        0         1
#> 182   24.00      0  35        0         0
#> 62    24.00      0  71        0         0
#> 95.1  24.00      0  68        0         1
#> 103.2 24.00      0  56        1         0
#> 19    24.00      0  57        0         1
#> 2     24.00      0   9        0         0
#> 142   24.00      0  53        0         0
#> 27.1  24.00      0  63        1         0
#> 11    24.00      0  42        0         1
#> 152   24.00      0  36        0         1
#> 87.1  24.00      0  27        0         0
#> 156.2 24.00      0  50        1         0
#> 104.3 24.00      0  50        1         0
#> 172   24.00      0  41        0         0
#> 162   24.00      0  51        0         0
#> 161   24.00      0  45        0         0
#> 73    24.00      0  NA        0         1
#> 83.1  24.00      0   6        0         0
#> 132   24.00      0  55        0         0
#> 120   24.00      0  68        0         1
#> 152.1 24.00      0  36        0         1
#> 172.1 24.00      0  41        0         0
#> 82.1  24.00      0  34        0         0
#> 193   24.00      0  45        0         1
#> 9     24.00      0  31        1         0
#> 74.1  24.00      0  43        0         1
#> 74.2  24.00      0  43        0         1
#> 12    24.00      0  63        0         0
#> 161.1 24.00      0  45        0         0
#> 35.1  24.00      0  51        0         0
#> 109.1 24.00      0  48        0         0
#> 176.1 24.00      0  43        0         1
#> 73.1  24.00      0  NA        0         1
#> 116.1 24.00      0  58        0         1
#> 121.2 24.00      0  57        1         0
#> 98.1  24.00      0  34        1         0
#> 178   24.00      0  52        1         0
#> 2.1   24.00      0   9        0         0
#> 38    24.00      0  31        1         0
#> 2.2   24.00      0   9        0         0
#> 38.1  24.00      0  31        1         0
#> 53    24.00      0  32        0         1
#> 44    24.00      0  56        0         0
#> 172.2 24.00      0  41        0         0
#> 135   24.00      0  58        1         0
#> 48    24.00      0  31        1         0
#> 146   24.00      0  63        1         0
#> 54    24.00      0  53        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.518          NA        NA      NA
#> 2 age, Cure model          0.0117         NA        NA      NA
#> 3 grade_ii, Cure model    -0.00613        NA        NA      NA
#> 4 grade_iii, Cure model    0.589          NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        0.00291        NA        NA      NA
#> 2 grade_ii, Survival model   0.809          NA        NA      NA
#> 3 grade_iii, Survival model  0.804          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.518363          0.011676         -0.006132          0.589265  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    262.9 
#> Residual Deviance: 257.9 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.518362640      0.011675961     -0.006131798      0.589265350 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      0.002911643      0.808513222      0.804478975 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.16716322 0.76031224 0.31834946 0.90843715 0.43494811 0.21202753
#>   [7] 0.07005602 0.57336925 0.41284886 0.28370072 0.35014107 0.65707252
#>  [13] 0.70046609 0.93383232 0.67902803 0.88240953 0.10925300 0.74107797
#>  [19] 0.65707252 0.90843715 0.82706146 0.95347208 0.99548947 0.94372794
#>  [25] 0.94372794 0.49487314 0.89306166 0.89306166 0.84970005 0.62532158
#>  [31] 0.81533091 0.37858741 0.99094439 0.89306166 0.79732534 0.72788745
#>  [37] 0.43494811 0.86613596 0.78530665 0.37858741 0.78530665 0.82706146
#>  [43] 0.21202753 0.50508475 0.53483975 0.65707252 0.02861801 0.50508475
#>  [49] 0.43494811 0.59114843 0.77295993 0.60842356 0.70752911 0.50508475
#>  [55] 0.75394156 0.76031224 0.26614399 0.84970005 0.54461819 0.19162736
#>  [61] 0.77295993 0.84401397 0.73452856 0.69330111 0.87164740 0.96312403
#>  [67] 0.96312403 0.98636423 0.62532158 0.64155955 0.56389668 0.67902803
#>  [73] 0.79732534 0.59989177 0.97710310 0.42411954 0.60842356 0.88776195
#>  [79] 0.92376313 0.98175242 0.93383232 0.57336925 0.37858741 0.74107797
#>  [85] 0.80931752 0.82706146 0.54461819 0.96312403 0.10925300 0.36481684
#>  [91] 0.95831905 0.21202753 0.90843715 0.43494811 0.64155955 0.81533091
#>  [97] 0.72114743 0.43494811 0.70752911 0.84970005 0.43494811 0.33430824
#> [103] 0.30109636 0.87164740 0.92376313 0.00000000 0.00000000 0.00000000
#> [109] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [115] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [121] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [127] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [133] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [139] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [145] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [151] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [157] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [163] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [169] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [175] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [181] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> [187] 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
#> 
#> $Time
#>   129   100   194    56    68   113    78    55    32    15   197    41   117 
#> 23.41 16.07 22.40 12.21 20.62 22.86 23.88 19.34 20.90 22.68 21.60 18.02 17.46 
#>   107    40   154   168    85  41.1  56.1    13   187   127    61  61.1   128 
#> 11.18 18.00 12.63 23.72 16.44 18.02 12.21 14.34  9.92  3.53 10.12 10.12 20.35 
#>    42  42.1   123   108    96    36    91  42.2   157   130  68.1    14    29 
#> 12.43 12.43 13.00 18.29 14.54 21.19  5.33 12.43 15.10 16.47 20.62 12.89 15.45 
#>    99  29.1  13.1 113.1   150   158  41.2    24 150.1  68.2    76    39     8 
#> 21.19 15.45 14.34 22.86 20.33 20.14 18.02 23.89 20.33 20.62 19.22 15.59 18.43 
#>    45 150.2    79 100.1    63 123.1   166    92  39.1   155   181   184   140 
#> 17.42 20.33 16.23 16.07 22.77 13.00 19.98 22.92 15.59 13.08 16.46 17.77 12.68 
#>    16  16.1    25 108.1    51   170  40.1 157.1    97   149   190   8.1    37 
#>  8.71  8.71  6.32 18.29 18.23 19.54 18.00 15.10 19.14  8.37 20.81 18.43 12.52 
#>    49    77 107.1  55.1  36.1   192   180  13.2 166.1  16.2 168.1   153   183 
#> 12.19  7.27 11.18 19.34 21.19 16.44 14.82 14.34 19.98  8.71 23.72 21.33  9.24 
#> 113.2  56.2  68.3  51.1  96.1   106  68.4  45.1 123.2  68.5    66   169 140.1 
#> 22.86 12.21 20.62 18.23 14.54 16.67 20.62 17.42 13.00 20.62 22.13 22.41 12.68 
#>  49.1    27     7   116   121    82    95   156   200 121.1    64 156.1    21 
#> 12.19 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   112   103    31   122   176   118   104    74    17   173 104.1 122.1    87 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    83  21.1     1   126    35    98 118.1   109 103.1 104.2    46   174   165 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148   144   182    62  95.1 103.2    19     2   142  27.1    11   152  87.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.2 104.3   172   162   161  83.1   132   120 152.1 172.1  82.1   193     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1  74.2    12 161.1  35.1 109.1 176.1 116.1 121.2  98.1   178   2.1    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   2.2  38.1    53    44 172.2   135    48   146    54 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[98]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.00696129                0.96362066                0.98686197 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.806851624             0.005256473             0.753866188 
#>   grade_iii, Cure model 
#>             1.378527376 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 16     8.71      1  71        0         1
#> 167   15.55      1  56        1         0
#> 42    12.43      1  49        0         1
#> 60    13.15      1  38        1         0
#> 181   16.46      1  45        0         1
#> 18    15.21      1  49        1         0
#> 167.1 15.55      1  56        1         0
#> 97    19.14      1  65        0         1
#> 40    18.00      1  28        1         0
#> 136   21.83      1  43        0         1
#> 159   10.55      1  50        0         1
#> 197   21.60      1  69        1         0
#> 26    15.77      1  49        0         1
#> 187    9.92      1  39        1         0
#> 42.1  12.43      1  49        0         1
#> 43    12.10      1  61        0         1
#> 26.1  15.77      1  49        0         1
#> 58    19.34      1  39        0         0
#> 52    10.42      1  52        0         1
#> 125   15.65      1  67        1         0
#> 29    15.45      1  68        1         0
#> 43.1  12.10      1  61        0         1
#> 113   22.86      1  34        0         0
#> 168   23.72      1  70        0         0
#> 76    19.22      1  54        0         1
#> 157   15.10      1  47        0         0
#> 140   12.68      1  59        1         0
#> 107   11.18      1  54        1         0
#> 195   11.76      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 110   17.56      1  65        0         1
#> 167.2 15.55      1  56        1         0
#> 188   16.16      1  46        0         1
#> 127    3.53      1  62        0         1
#> 187.1  9.92      1  39        1         0
#> 45    17.42      1  54        0         1
#> 136.1 21.83      1  43        0         1
#> 129   23.41      1  53        1         0
#> 57    14.46      1  45        0         1
#> 26.2  15.77      1  49        0         1
#> 32    20.90      1  37        1         0
#> 188.1 16.16      1  46        0         1
#> 4     17.64      1  NA        0         1
#> 97.1  19.14      1  65        0         1
#> 25     6.32      1  34        1         0
#> 134   17.81      1  47        1         0
#> 63    22.77      1  31        1         0
#> 136.2 21.83      1  43        0         1
#> 113.1 22.86      1  34        0         0
#> 4.1   17.64      1  NA        0         1
#> 41    18.02      1  40        1         0
#> 79    16.23      1  54        1         0
#> 169   22.41      1  46        0         0
#> 139   21.49      1  63        1         0
#> 59    10.16      1  NA        1         0
#> 76.1  19.22      1  54        0         1
#> 107.1 11.18      1  54        1         0
#> 45.1  17.42      1  54        0         1
#> 61    10.12      1  36        0         1
#> 113.2 22.86      1  34        0         0
#> 26.3  15.77      1  49        0         1
#> 168.1 23.72      1  70        0         0
#> 29.1  15.45      1  68        1         0
#> 24    23.89      1  38        0         0
#> 101    9.97      1  10        0         1
#> 15    22.68      1  48        0         0
#> 101.1  9.97      1  10        0         1
#> 140.1 12.68      1  59        1         0
#> 170   19.54      1  43        0         1
#> 58.1  19.34      1  39        0         0
#> 130   16.47      1  53        0         1
#> 55    19.34      1  69        0         1
#> 100   16.07      1  60        0         0
#> 26.4  15.77      1  49        0         1
#> 5     16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 36    21.19      1  48        0         1
#> 180   14.82      1  37        0         0
#> 81    14.06      1  34        0         0
#> 43.2  12.10      1  61        0         1
#> 51    18.23      1  83        0         1
#> 127.1  3.53      1  62        0         1
#> 58.2  19.34      1  39        0         0
#> 136.3 21.83      1  43        0         1
#> 154   12.63      1  20        1         0
#> 70     7.38      1  30        1         0
#> 159.1 10.55      1  50        0         1
#> 77.1   7.27      1  67        0         1
#> 32.1  20.90      1  37        1         0
#> 97.2  19.14      1  65        0         1
#> 190   20.81      1  42        1         0
#> 192   16.44      1  31        1         0
#> 60.1  13.15      1  38        1         0
#> 157.1 15.10      1  47        0         0
#> 96    14.54      1  33        0         1
#> 164   23.60      1  76        0         1
#> 171   16.57      1  41        0         1
#> 13    14.34      1  54        0         1
#> 66    22.13      1  53        0         0
#> 76.2  19.22      1  54        0         1
#> 6     15.64      1  39        0         0
#> 91     5.33      1  61        0         1
#> 37    12.52      1  57        1         0
#> 136.4 21.83      1  43        0         1
#> 117   17.46      1  26        0         1
#> 100.1 16.07      1  60        0         0
#> 190.1 20.81      1  42        1         0
#> 51.1  18.23      1  83        0         1
#> 179   18.63      1  42        0         0
#> 90    20.94      1  50        0         1
#> 41.1  18.02      1  40        1         0
#> 81.1  14.06      1  34        0         0
#> 146   24.00      0  63        1         0
#> 148   24.00      0  61        1         0
#> 156   24.00      0  50        1         0
#> 31    24.00      0  36        0         1
#> 118   24.00      0  44        1         0
#> 94    24.00      0  51        0         1
#> 198   24.00      0  66        0         1
#> 2     24.00      0   9        0         0
#> 120   24.00      0  68        0         1
#> 141   24.00      0  44        1         0
#> 161   24.00      0  45        0         0
#> 7     24.00      0  37        1         0
#> 38    24.00      0  31        1         0
#> 109   24.00      0  48        0         0
#> 84    24.00      0  39        0         1
#> 1     24.00      0  23        1         0
#> 62    24.00      0  71        0         0
#> 163   24.00      0  66        0         0
#> 67    24.00      0  25        0         0
#> 162   24.00      0  51        0         0
#> 19    24.00      0  57        0         1
#> 72    24.00      0  40        0         1
#> 53    24.00      0  32        0         1
#> 109.1 24.00      0  48        0         0
#> 132   24.00      0  55        0         0
#> 109.2 24.00      0  48        0         0
#> 165   24.00      0  47        0         0
#> 126   24.00      0  48        0         0
#> 163.1 24.00      0  66        0         0
#> 143   24.00      0  51        0         0
#> 87    24.00      0  27        0         0
#> 12    24.00      0  63        0         0
#> 2.1   24.00      0   9        0         0
#> 83    24.00      0   6        0         0
#> 141.1 24.00      0  44        1         0
#> 165.1 24.00      0  47        0         0
#> 121   24.00      0  57        1         0
#> 84.1  24.00      0  39        0         1
#> 144   24.00      0  28        0         1
#> 98    24.00      0  34        1         0
#> 146.1 24.00      0  63        1         0
#> 132.1 24.00      0  55        0         0
#> 44    24.00      0  56        0         0
#> 143.1 24.00      0  51        0         0
#> 120.1 24.00      0  68        0         1
#> 176   24.00      0  43        0         1
#> 21    24.00      0  47        0         0
#> 119   24.00      0  17        0         0
#> 103   24.00      0  56        1         0
#> 12.1  24.00      0  63        0         0
#> 103.1 24.00      0  56        1         0
#> 87.1  24.00      0  27        0         0
#> 71    24.00      0  51        0         0
#> 165.2 24.00      0  47        0         0
#> 72.1  24.00      0  40        0         1
#> 142   24.00      0  53        0         0
#> 74    24.00      0  43        0         1
#> 121.1 24.00      0  57        1         0
#> 28    24.00      0  67        1         0
#> 115   24.00      0  NA        1         0
#> 191   24.00      0  60        0         1
#> 28.1  24.00      0  67        1         0
#> 62.1  24.00      0  71        0         0
#> 160   24.00      0  31        1         0
#> 1.1   24.00      0  23        1         0
#> 46    24.00      0  71        0         0
#> 19.1  24.00      0  57        0         1
#> 28.2  24.00      0  67        1         0
#> 64    24.00      0  43        0         0
#> 121.2 24.00      0  57        1         0
#> 116   24.00      0  58        0         1
#> 122   24.00      0  66        0         0
#> 87.2  24.00      0  27        0         0
#> 126.1 24.00      0  48        0         0
#> 174   24.00      0  49        1         0
#> 17    24.00      0  38        0         1
#> 156.1 24.00      0  50        1         0
#> 102   24.00      0  49        0         0
#> 176.1 24.00      0  43        0         1
#> 47    24.00      0  38        0         1
#> 28.3  24.00      0  67        1         0
#> 141.2 24.00      0  44        1         0
#> 47.1  24.00      0  38        0         1
#> 65    24.00      0  57        1         0
#> 72.2  24.00      0  40        0         1
#> 141.3 24.00      0  44        1         0
#> 87.3  24.00      0  27        0         0
#> 31.1  24.00      0  36        0         1
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.807          NA        NA      NA
#> 2 age, Cure model          0.00526        NA        NA      NA
#> 3 grade_ii, Cure model     0.754          NA        NA      NA
#> 4 grade_iii, Cure model    1.38           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00696        NA        NA      NA
#> 2 grade_ii, Survival model   0.964          NA        NA      NA
#> 3 grade_iii, Survival model  0.987          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.806852          0.005256          0.753866          1.378527  
#> 
#> Degrees of Freedom: 193 Total (i.e. Null);  190 Residual
#> Null Deviance:	    266.9 
#> Residual Deviance: 251.5 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.806851624      0.005256473      0.753866188      1.378527376 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.00696129       0.96362066       0.98686197 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.954405766 0.728568626 0.863110017 0.823980502 0.618500396 0.762957591
#>   [7] 0.728568626 0.478859921 0.551814064 0.243579329 0.906707284 0.305902950
#>  [13] 0.679297318 0.942763539 0.863110017 0.875770455 0.679297318 0.410129659
#>  [19] 0.918877916 0.714342165 0.749259614 0.875770455 0.114568471 0.026419449
#>  [25] 0.450137483 0.769784436 0.837162801 0.894388801 0.569210924 0.728568626
#>  [31] 0.649507387 0.988788806 0.942763539 0.586150684 0.243579329 0.095165329
#>  [37] 0.797125739 0.679297318 0.356550823 0.649507387 0.478859921 0.977425157
#>  [43] 0.560572535 0.168666760 0.243579329 0.114568471 0.534113710 0.641879461
#>  [49] 0.205145690 0.319161811 0.450137483 0.894388801 0.586150684 0.924948504
#>  [55] 0.114568471 0.679297318 0.026419449 0.749259614 0.007179884 0.930976048
#>  [61] 0.186652630 0.930976048 0.837162801 0.399754458 0.410129659 0.610508826
#>  [67] 0.410129659 0.664345339 0.679297318 0.634178335 0.965998971 0.332051035
#>  [73] 0.783444897 0.810581291 0.875770455 0.515816752 0.988788806 0.410129659
#>  [79] 0.243579329 0.850193618 0.960222089 0.906707284 0.965998971 0.356550823
#>  [85] 0.478859921 0.378741225 0.626393924 0.823980502 0.769784436 0.790318832
#>  [91] 0.071954342 0.602426801 0.803877224 0.224107999 0.450137483 0.721447058
#>  [97] 0.983119370 0.856670383 0.243579329 0.577757695 0.664345339 0.378741225
#> [103] 0.515816752 0.506415644 0.344495591 0.534113710 0.810581291 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [193] 0.000000000 0.000000000
#> 
#> $Time
#>    16   167    42    60   181    18 167.1    97    40   136   159   197    26 
#>  8.71 15.55 12.43 13.15 16.46 15.21 15.55 19.14 18.00 21.83 10.55 21.60 15.77 
#>   187  42.1    43  26.1    58    52   125    29  43.1   113   168    76   157 
#>  9.92 12.43 12.10 15.77 19.34 10.42 15.65 15.45 12.10 22.86 23.72 19.22 15.10 
#>   140   107   110 167.2   188   127 187.1    45 136.1   129    57  26.2    32 
#> 12.68 11.18 17.56 15.55 16.16  3.53  9.92 17.42 21.83 23.41 14.46 15.77 20.90 
#> 188.1  97.1    25   134    63 136.2 113.1    41    79   169   139  76.1 107.1 
#> 16.16 19.14  6.32 17.81 22.77 21.83 22.86 18.02 16.23 22.41 21.49 19.22 11.18 
#>  45.1    61 113.2  26.3 168.1  29.1    24   101    15 101.1 140.1   170  58.1 
#> 17.42 10.12 22.86 15.77 23.72 15.45 23.89  9.97 22.68  9.97 12.68 19.54 19.34 
#>   130    55   100  26.4     5    77    36   180    81  43.2    51 127.1  58.2 
#> 16.47 19.34 16.07 15.77 16.43  7.27 21.19 14.82 14.06 12.10 18.23  3.53 19.34 
#> 136.3   154    70 159.1  77.1  32.1  97.2   190   192  60.1 157.1    96   164 
#> 21.83 12.63  7.38 10.55  7.27 20.90 19.14 20.81 16.44 13.15 15.10 14.54 23.60 
#>   171    13    66  76.2     6    91    37 136.4   117 100.1 190.1  51.1   179 
#> 16.57 14.34 22.13 19.22 15.64  5.33 12.52 21.83 17.46 16.07 20.81 18.23 18.63 
#>    90  41.1  81.1   146   148   156    31   118    94   198     2   120   141 
#> 20.94 18.02 14.06 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   161     7    38   109    84     1    62   163    67   162    19    72    53 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 109.1   132 109.2   165   126 163.1   143    87    12   2.1    83 141.1 165.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   121  84.1   144    98 146.1 132.1    44 143.1 120.1   176    21   119   103 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  12.1 103.1  87.1    71 165.2  72.1   142    74 121.1    28   191  28.1  62.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   160   1.1    46  19.1  28.2    64 121.2   116   122  87.2 126.1   174    17 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 156.1   102 176.1    47  28.3 141.2  47.1    65  72.2 141.3  87.3  31.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[99]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>               -0.01066794                0.87447224                0.46456086 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            0.1105604482           -0.0004771914           -0.2221663228 
#>   grade_iii, Cure model 
#>            0.4605658671 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 60    13.15      1  38        1         0
#> 158   20.14      1  74        1         0
#> 111   17.45      1  47        0         1
#> 175   21.91      1  43        0         0
#> 113   22.86      1  34        0         0
#> 63    22.77      1  31        1         0
#> 150   20.33      1  48        0         0
#> 197   21.60      1  69        1         0
#> 128   20.35      1  35        0         1
#> 18    15.21      1  49        1         0
#> 150.1 20.33      1  48        0         0
#> 108   18.29      1  39        0         1
#> 59    10.16      1  NA        1         0
#> 168   23.72      1  70        0         0
#> 113.1 22.86      1  34        0         0
#> 164   23.60      1  76        0         1
#> 139   21.49      1  63        1         0
#> 93    10.33      1  52        0         1
#> 91     5.33      1  61        0         1
#> 145   10.07      1  65        1         0
#> 56    12.21      1  60        0         0
#> 127    3.53      1  62        0         1
#> 159   10.55      1  50        0         1
#> 169   22.41      1  46        0         0
#> 77     7.27      1  67        0         1
#> 175.1 21.91      1  43        0         0
#> 166   19.98      1  48        0         0
#> 26    15.77      1  49        0         1
#> 166.1 19.98      1  48        0         0
#> 60.1  13.15      1  38        1         0
#> 92    22.92      1  47        0         1
#> 114   13.68      1  NA        0         0
#> 89    11.44      1  NA        0         0
#> 59.1  10.16      1  NA        1         0
#> 149    8.37      1  33        1         0
#> 189   10.51      1  NA        1         0
#> 199   19.81      1  NA        0         1
#> 101    9.97      1  10        0         1
#> 107   11.18      1  54        1         0
#> 139.1 21.49      1  63        1         0
#> 195   11.76      1  NA        1         0
#> 55    19.34      1  69        0         1
#> 50    10.02      1  NA        1         0
#> 92.1  22.92      1  47        0         1
#> 168.1 23.72      1  70        0         0
#> 86    23.81      1  58        0         1
#> 194   22.40      1  38        0         1
#> 157   15.10      1  47        0         0
#> 79    16.23      1  54        1         0
#> 43    12.10      1  61        0         1
#> 40    18.00      1  28        1         0
#> 36    21.19      1  48        0         1
#> 175.2 21.91      1  43        0         0
#> 134   17.81      1  47        1         0
#> 49    12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 70     7.38      1  30        1         0
#> 113.2 22.86      1  34        0         0
#> 154   12.63      1  20        1         0
#> 58    19.34      1  39        0         0
#> 56.1  12.21      1  60        0         0
#> 153   21.33      1  55        1         0
#> 157.1 15.10      1  47        0         0
#> 66    22.13      1  53        0         0
#> 101.1  9.97      1  10        0         1
#> 51    18.23      1  83        0         1
#> 18.1  15.21      1  49        1         0
#> 155   13.08      1  26        0         0
#> 90    20.94      1  50        0         1
#> 55.1  19.34      1  69        0         1
#> 60.2  13.15      1  38        1         0
#> 81    14.06      1  34        0         0
#> 168.2 23.72      1  70        0         0
#> 42    12.43      1  49        0         1
#> 97    19.14      1  65        0         1
#> 69    23.23      1  25        0         1
#> 36.1  21.19      1  48        0         1
#> 134.1 17.81      1  47        1         0
#> 149.1  8.37      1  33        1         0
#> 15    22.68      1  48        0         0
#> 179   18.63      1  42        0         0
#> 41    18.02      1  40        1         0
#> 55.2  19.34      1  69        0         1
#> 97.1  19.14      1  65        0         1
#> 24    23.89      1  38        0         0
#> 5     16.43      1  51        0         1
#> 23    16.92      1  61        0         0
#> 159.1 10.55      1  50        0         1
#> 127.1  3.53      1  62        0         1
#> 100   16.07      1  60        0         0
#> 111.1 17.45      1  47        0         1
#> 189.1 10.51      1  NA        1         0
#> 13    14.34      1  54        0         1
#> 25     6.32      1  34        1         0
#> 199.1 19.81      1  NA        0         1
#> 113.3 22.86      1  34        0         0
#> 164.1 23.60      1  76        0         1
#> 13.1  14.34      1  54        0         1
#> 8     18.43      1  32        0         0
#> 23.1  16.92      1  61        0         0
#> 107.1 11.18      1  54        1         0
#> 153.1 21.33      1  55        1         0
#> 58.1  19.34      1  39        0         0
#> 128.1 20.35      1  35        0         1
#> 177   12.53      1  75        0         0
#> 153.2 21.33      1  55        1         0
#> 154.1 12.63      1  20        1         0
#> 51.1  18.23      1  83        0         1
#> 150.2 20.33      1  48        0         0
#> 85    16.44      1  36        0         0
#> 175.3 21.91      1  43        0         0
#> 93.1  10.33      1  52        0         1
#> 122   24.00      0  66        0         0
#> 3     24.00      0  31        1         0
#> 64    24.00      0  43        0         0
#> 34    24.00      0  36        0         0
#> 34.1  24.00      0  36        0         0
#> 178   24.00      0  52        1         0
#> 102   24.00      0  49        0         0
#> 1     24.00      0  23        1         0
#> 71    24.00      0  51        0         0
#> 146   24.00      0  63        1         0
#> 138   24.00      0  44        1         0
#> 17    24.00      0  38        0         1
#> 200   24.00      0  64        0         0
#> 151   24.00      0  42        0         0
#> 9     24.00      0  31        1         0
#> 19    24.00      0  57        0         1
#> 22    24.00      0  52        1         0
#> 104   24.00      0  50        1         0
#> 137   24.00      0  45        1         0
#> 163   24.00      0  66        0         0
#> 146.1 24.00      0  63        1         0
#> 19.1  24.00      0  57        0         1
#> 22.1  24.00      0  52        1         0
#> 28    24.00      0  67        1         0
#> 121   24.00      0  57        1         0
#> 126   24.00      0  48        0         0
#> 75    24.00      0  21        1         0
#> 152   24.00      0  36        0         1
#> 1.1   24.00      0  23        1         0
#> 132   24.00      0  55        0         0
#> 141   24.00      0  44        1         0
#> 198   24.00      0  66        0         1
#> 71.1  24.00      0  51        0         0
#> 115   24.00      0  NA        1         0
#> 131   24.00      0  66        0         0
#> 47    24.00      0  38        0         1
#> 17.1  24.00      0  38        0         1
#> 19.2  24.00      0  57        0         1
#> 87    24.00      0  27        0         0
#> 80    24.00      0  41        0         0
#> 94    24.00      0  51        0         1
#> 62    24.00      0  71        0         0
#> 131.1 24.00      0  66        0         0
#> 21    24.00      0  47        0         0
#> 178.1 24.00      0  52        1         0
#> 191   24.00      0  60        0         1
#> 182   24.00      0  35        0         0
#> 132.1 24.00      0  55        0         0
#> 185   24.00      0  44        1         0
#> 118   24.00      0  44        1         0
#> 48    24.00      0  31        1         0
#> 156   24.00      0  50        1         0
#> 120   24.00      0  68        0         1
#> 161   24.00      0  45        0         0
#> 38    24.00      0  31        1         0
#> 84    24.00      0  39        0         1
#> 109   24.00      0  48        0         0
#> 71.2  24.00      0  51        0         0
#> 191.1 24.00      0  60        0         1
#> 65    24.00      0  57        1         0
#> 28.1  24.00      0  67        1         0
#> 35    24.00      0  51        0         0
#> 103   24.00      0  56        1         0
#> 19.3  24.00      0  57        0         1
#> 80.1  24.00      0  41        0         0
#> 126.1 24.00      0  48        0         0
#> 120.1 24.00      0  68        0         1
#> 46    24.00      0  71        0         0
#> 53    24.00      0  32        0         1
#> 174   24.00      0  49        1         0
#> 34.2  24.00      0  36        0         0
#> 161.1 24.00      0  45        0         0
#> 94.1  24.00      0  51        0         1
#> 144   24.00      0  28        0         1
#> 95    24.00      0  68        0         1
#> 131.2 24.00      0  66        0         0
#> 178.2 24.00      0  52        1         0
#> 163.1 24.00      0  66        0         0
#> 98    24.00      0  34        1         0
#> 103.1 24.00      0  56        1         0
#> 17.2  24.00      0  38        0         1
#> 148   24.00      0  61        1         0
#> 11    24.00      0  42        0         1
#> 151.1 24.00      0  42        0         0
#> 112   24.00      0  61        0         0
#> 144.1 24.00      0  28        0         1
#> 156.1 24.00      0  50        1         0
#> 75.1  24.00      0  21        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                     estimate std.error statistic p.value
#>   <chr>                       <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model  0.111           NA        NA      NA
#> 2 age, Cure model         -0.000477        NA        NA      NA
#> 3 grade_ii, Cure model    -0.222           NA        NA      NA
#> 4 grade_iii, Cure model    0.461           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model        -0.0107        NA        NA      NA
#> 2 grade_ii, Survival model    0.874         NA        NA      NA
#> 3 grade_iii, Survival model   0.465         NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        0.1105604        -0.0004772        -0.2221663         0.4605659  
#> 
#> Degrees of Freedom: 188 Total (i.e. Null);  185 Residual
#> Null Deviance:	    260.8 
#> Residual Deviance: 257.3 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     0.1105604482    -0.0004771914    -0.2221663228     0.4605658671 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>      -0.01066794       0.87447224       0.46456086 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 0.700312946 0.322236333 0.519375143 0.149075266 0.069423774 0.102407485
#>   [7] 0.293233532 0.187650987 0.274328246 0.614747310 0.293233532 0.444750493
#>  [13] 0.010149136 0.069423774 0.028102985 0.198056267 0.867347300 0.969790682
#>  [19] 0.888180668 0.783740655 0.979870474 0.846557014 0.120481832 0.949595644
#>  [25] 0.149075266 0.332182115 0.603990144 0.332182115 0.700312946 0.053186395
#>  [31] 0.919216282 0.898634685 0.825800659 0.198056267 0.352250475 0.053186395
#>  [37] 0.010149136 0.005265373 0.129946136 0.635766138 0.582588700 0.815263778
#>  [43] 0.488062274 0.245670294 0.149075266 0.498707148 0.804749982 0.657062632
#>  [49] 0.939486509 0.069423774 0.742290111 0.352250475 0.783740655 0.217867586
#>  [55] 0.635766138 0.139368921 0.898634685 0.455547117 0.614747310 0.731653211
#>  [61] 0.264642293 0.352250475 0.700312946 0.689409935 0.010149136 0.773297885
#>  [67] 0.402205919 0.044458740 0.245670294 0.498707148 0.919216282 0.111297544
#>  [73] 0.423208514 0.477233552 0.352250475 0.402205919 0.001175011 0.571865418
#>  [79] 0.540073027 0.846557014 0.979870474 0.593243798 0.519375143 0.667879110
#>  [85] 0.959728658 0.069423774 0.028102985 0.667879110 0.433940839 0.540073027
#>  [91] 0.825800659 0.217867586 0.352250475 0.274328246 0.762863079 0.217867586
#>  [97] 0.742290111 0.455547117 0.293233532 0.561157487 0.149075266 0.867347300
#> [103] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [109] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [115] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [121] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [127] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [133] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [139] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [145] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [151] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [157] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [163] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [169] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [175] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [181] 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000 0.000000000
#> [187] 0.000000000 0.000000000 0.000000000
#> 
#> $Time
#>    60   158   111   175   113    63   150   197   128    18 150.1   108   168 
#> 13.15 20.14 17.45 21.91 22.86 22.77 20.33 21.60 20.35 15.21 20.33 18.29 23.72 
#> 113.1   164   139    93    91   145    56   127   159   169    77 175.1   166 
#> 22.86 23.60 21.49 10.33  5.33 10.07 12.21  3.53 10.55 22.41  7.27 21.91 19.98 
#>    26 166.1  60.1    92   149   101   107 139.1    55  92.1 168.1    86   194 
#> 15.77 19.98 13.15 22.92  8.37  9.97 11.18 21.49 19.34 22.92 23.72 23.81 22.40 
#>   157    79    43    40    36 175.2   134    49   133    70 113.2   154    58 
#> 15.10 16.23 12.10 18.00 21.19 21.91 17.81 12.19 14.65  7.38 22.86 12.63 19.34 
#>  56.1   153 157.1    66 101.1    51  18.1   155    90  55.1  60.2    81 168.2 
#> 12.21 21.33 15.10 22.13  9.97 18.23 15.21 13.08 20.94 19.34 13.15 14.06 23.72 
#>    42    97    69  36.1 134.1 149.1    15   179    41  55.2  97.1    24     5 
#> 12.43 19.14 23.23 21.19 17.81  8.37 22.68 18.63 18.02 19.34 19.14 23.89 16.43 
#>    23 159.1 127.1   100 111.1    13    25 113.3 164.1  13.1     8  23.1 107.1 
#> 16.92 10.55  3.53 16.07 17.45 14.34  6.32 22.86 23.60 14.34 18.43 16.92 11.18 
#> 153.1  58.1 128.1   177 153.2 154.1  51.1 150.2    85 175.3  93.1   122     3 
#> 21.33 19.34 20.35 12.53 21.33 12.63 18.23 20.33 16.44 21.91 10.33 24.00 24.00 
#>    64    34  34.1   178   102     1    71   146   138    17   200   151     9 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    19    22   104   137   163 146.1  19.1  22.1    28   121   126    75   152 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   1.1   132   141   198  71.1   131    47  17.1  19.2    87    80    94    62 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 131.1    21 178.1   191   182 132.1   185   118    48   156   120   161    38 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    84   109  71.2 191.1    65  28.1    35   103  19.3  80.1 126.1 120.1    46 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    53   174  34.2 161.1  94.1   144    95 131.2 178.2 163.1    98 103.1  17.2 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   148    11 151.1   112 144.1 156.1  75.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> $bootstrap_fit[[100]]
#> <cureit> 
#> $surv_coefs
#>       age, Survival model  grade_ii, Survival model grade_iii, Survival model 
#>              -0.008794123               0.256437568              -0.287145636 
#> 
#> $cure_coefs
#> (Intercept), Cure model         age, Cure model    grade_ii, Cure model 
#>            -0.567025003             0.008579176             0.006108458 
#>   grade_iii, Cure model 
#>             1.071733929 
#> 
#> $surv_formula
#> Surv(time, status) ~ age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $cure_formula
#> ~age + grade_ii + grade_iii
#> <environment: 0x55d6f034ab78>
#> 
#> $data
#>        time status age grade_ii grade_iii
#> 6     15.64      1  39        0         0
#> 51    18.23      1  83        0         1
#> 171   16.57      1  41        0         1
#> 8     18.43      1  32        0         0
#> 170   19.54      1  43        0         1
#> 89    11.44      1  NA        0         0
#> 29    15.45      1  68        1         0
#> 6.1   15.64      1  39        0         0
#> 36    21.19      1  48        0         1
#> 37    12.52      1  57        1         0
#> 184   17.77      1  38        0         0
#> 157   15.10      1  47        0         0
#> 111   17.45      1  47        0         1
#> 153   21.33      1  55        1         0
#> 114   13.68      1  NA        0         0
#> 96    14.54      1  33        0         1
#> 130   16.47      1  53        0         1
#> 29.1  15.45      1  68        1         0
#> 164   23.60      1  76        0         1
#> 183    9.24      1  67        1         0
#> 29.2  15.45      1  68        1         0
#> 5     16.43      1  51        0         1
#> 77     7.27      1  67        0         1
#> 168   23.72      1  70        0         0
#> 170.1 19.54      1  43        0         1
#> 192   16.44      1  31        1         0
#> 23    16.92      1  61        0         0
#> 108   18.29      1  39        0         1
#> 60    13.15      1  38        1         0
#> 140   12.68      1  59        1         0
#> 177   12.53      1  75        0         0
#> 92    22.92      1  47        0         1
#> 167   15.55      1  56        1         0
#> 39    15.59      1  37        0         1
#> 175   21.91      1  43        0         0
#> 188   16.16      1  46        0         1
#> 97    19.14      1  65        0         1
#> 130.1 16.47      1  53        0         1
#> 14    12.89      1  21        0         0
#> 194   22.40      1  38        0         1
#> 57    14.46      1  45        0         1
#> 81    14.06      1  34        0         0
#> 199   19.81      1  NA        0         1
#> 181   16.46      1  45        0         1
#> 105   19.75      1  60        0         0
#> 13    14.34      1  54        0         1
#> 81.1  14.06      1  34        0         0
#> 30    17.43      1  78        0         0
#> 92.1  22.92      1  47        0         1
#> 157.1 15.10      1  47        0         0
#> 114.1 13.68      1  NA        0         0
#> 167.1 15.55      1  56        1         0
#> 153.1 21.33      1  55        1         0
#> 105.1 19.75      1  60        0         0
#> 107   11.18      1  54        1         0
#> 50    10.02      1  NA        1         0
#> 166   19.98      1  48        0         0
#> 134   17.81      1  47        1         0
#> 63    22.77      1  31        1         0
#> 194.1 22.40      1  38        0         1
#> 125   15.65      1  67        1         0
#> 123   13.00      1  44        1         0
#> 134.1 17.81      1  47        1         0
#> 26    15.77      1  49        0         1
#> 197   21.60      1  69        1         0
#> 29.3  15.45      1  68        1         0
#> 199.1 19.81      1  NA        0         1
#> 107.1 11.18      1  54        1         0
#> 169   22.41      1  46        0         0
#> 45    17.42      1  54        0         1
#> 101    9.97      1  10        0         1
#> 42    12.43      1  49        0         1
#> 158   20.14      1  74        1         0
#> 180   14.82      1  37        0         0
#> 52    10.42      1  52        0         1
#> 105.2 19.75      1  60        0         0
#> 97.1  19.14      1  65        0         1
#> 195   11.76      1  NA        1         0
#> 6.2   15.64      1  39        0         0
#> 66    22.13      1  53        0         0
#> 89.1  11.44      1  NA        0         0
#> 159   10.55      1  50        0         1
#> 96.1  14.54      1  33        0         1
#> 155   13.08      1  26        0         0
#> 184.1 17.77      1  38        0         0
#> 63.1  22.77      1  31        1         0
#> 86    23.81      1  58        0         1
#> 188.1 16.16      1  46        0         1
#> 190   20.81      1  42        1         0
#> 166.1 19.98      1  48        0         0
#> 97.2  19.14      1  65        0         1
#> 88    18.37      1  47        0         0
#> 99    21.19      1  38        0         1
#> 40    18.00      1  28        1         0
#> 59    10.16      1  NA        1         0
#> 92.2  22.92      1  47        0         1
#> 8.1   18.43      1  32        0         0
#> 81.2  14.06      1  34        0         0
#> 18    15.21      1  49        1         0
#> 180.1 14.82      1  37        0         0
#> 170.2 19.54      1  43        0         1
#> 101.1  9.97      1  10        0         1
#> 92.3  22.92      1  47        0         1
#> 169.1 22.41      1  46        0         0
#> 187    9.92      1  39        1         0
#> 69    23.23      1  25        0         1
#> 90    20.94      1  50        0         1
#> 130.2 16.47      1  53        0         1
#> 25     6.32      1  34        1         0
#> 56    12.21      1  60        0         0
#> 49    12.19      1  48        1         0
#> 133   14.65      1  57        0         0
#> 98    24.00      0  34        1         0
#> 191   24.00      0  60        0         1
#> 84    24.00      0  39        0         1
#> 178   24.00      0  52        1         0
#> 98.1  24.00      0  34        1         0
#> 74    24.00      0  43        0         1
#> 161   24.00      0  45        0         0
#> 67    24.00      0  25        0         0
#> 200   24.00      0  64        0         0
#> 163   24.00      0  66        0         0
#> 33    24.00      0  53        0         0
#> 172   24.00      0  41        0         0
#> 147   24.00      0  76        1         0
#> 75    24.00      0  21        1         0
#> 94    24.00      0  51        0         1
#> 54    24.00      0  53        1         0
#> 87    24.00      0  27        0         0
#> 7     24.00      0  37        1         0
#> 34    24.00      0  36        0         0
#> 65    24.00      0  57        1         0
#> 34.1  24.00      0  36        0         0
#> 3     24.00      0  31        1         0
#> 71    24.00      0  51        0         0
#> 7.1   24.00      0  37        1         0
#> 193   24.00      0  45        0         1
#> 87.1  24.00      0  27        0         0
#> 94.1  24.00      0  51        0         1
#> 163.1 24.00      0  66        0         0
#> 65.1  24.00      0  57        1         0
#> 9     24.00      0  31        1         0
#> 112   24.00      0  61        0         0
#> 71.1  24.00      0  51        0         0
#> 173   24.00      0  19        0         1
#> 98.2  24.00      0  34        1         0
#> 148   24.00      0  61        1         0
#> 98.3  24.00      0  34        1         0
#> 12    24.00      0  63        0         0
#> 151   24.00      0  42        0         0
#> 44    24.00      0  56        0         0
#> 174   24.00      0  49        1         0
#> 71.2  24.00      0  51        0         0
#> 185   24.00      0  44        1         0
#> 35    24.00      0  51        0         0
#> 160   24.00      0  31        1         0
#> 122   24.00      0  66        0         0
#> 82    24.00      0  34        0         0
#> 46    24.00      0  71        0         0
#> 38    24.00      0  31        1         0
#> 17    24.00      0  38        0         1
#> 44.1  24.00      0  56        0         0
#> 54.1  24.00      0  53        1         0
#> 34.2  24.00      0  36        0         0
#> 19    24.00      0  57        0         1
#> 131   24.00      0  66        0         0
#> 48    24.00      0  31        1         0
#> 94.2  24.00      0  51        0         1
#> 9.1   24.00      0  31        1         0
#> 137   24.00      0  45        1         0
#> 200.1 24.00      0  64        0         0
#> 67.1  24.00      0  25        0         0
#> 19.1  24.00      0  57        0         1
#> 131.1 24.00      0  66        0         0
#> 122.1 24.00      0  66        0         0
#> 193.1 24.00      0  45        0         1
#> 62    24.00      0  71        0         0
#> 141   24.00      0  44        1         0
#> 74.1  24.00      0  43        0         1
#> 172.1 24.00      0  41        0         0
#> 17.1  24.00      0  38        0         1
#> 121   24.00      0  57        1         0
#> 146   24.00      0  63        1         0
#> 48.1  24.00      0  31        1         0
#> 62.1  24.00      0  71        0         0
#> 112.1 24.00      0  61        0         0
#> 198   24.00      0  66        0         1
#> 103   24.00      0  56        1         0
#> 3.1   24.00      0  31        1         0
#> 112.2 24.00      0  61        0         0
#> 119   24.00      0  17        0         0
#> 62.2  24.00      0  71        0         0
#> 74.2  24.00      0  43        0         1
#> 20    24.00      0  46        1         0
#> 178.1 24.00      0  52        1         0
#> 47    24.00      0  38        0         1
#> 165   24.00      0  47        0         0
#> 3.2   24.00      0  31        1         0
#> 1     24.00      0  23        1         0
#> 137.1 24.00      0  45        1         0
#> 
#> $conf.level
#> [1] 0.95
#> 
#> $nboot
#> [1] 100
#> 
#> $eps
#> [1] 1e-07
#> 
#> $surv_xlevels
#> named list()
#> 
#> $cure_xlevels
#> named list()
#> 
#> $tidy
#> $tidy$df_cure
#> # A tibble: 4 × 5
#>   term                    estimate std.error statistic p.value
#>   <chr>                      <dbl>     <dbl>     <dbl>   <dbl>
#> 1 (Intercept), Cure model -0.567          NA        NA      NA
#> 2 age, Cure model          0.00858        NA        NA      NA
#> 3 grade_ii, Cure model     0.00611        NA        NA      NA
#> 4 grade_iii, Cure model    1.07           NA        NA      NA
#> 
#> $tidy$df_surv
#> # A tibble: 3 × 5
#>   term                      estimate std.error statistic p.value
#>   <chr>                        <dbl>     <dbl>     <dbl>   <dbl>
#> 1 age, Survival model       -0.00879        NA        NA      NA
#> 2 grade_ii, Survival model   0.256          NA        NA      NA
#> 3 grade_iii, Survival model -0.287          NA        NA      NA
#> 
#> 
#> $smcure
#> $logistfit
#> 
#> Call:  glm(formula = w ~ Z[, -1], family = quasibinomial(link = "logit"))
#> 
#> Coefficients:
#>      (Intercept)        Z[, -1]age   Z[, -1]grade_ii  Z[, -1]grade_iii  
#>        -0.567025          0.008579          0.006108          1.071734  
#> 
#> Degrees of Freedom: 190 Total (i.e. Null);  187 Residual
#> Null Deviance:	    263.6 
#> Residual Deviance: 252.4 	AIC: NA
#> 
#> $b
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>     -0.567025003      0.008579176      0.006108458      1.071733929 
#> 
#> $beta
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>     -0.008794123      0.256437568     -0.287145636 
#> 
#> $b_var
#> [1] NA NA NA NA
#> 
#> $b_sd
#> [1] NA NA NA NA
#> 
#> $b_zvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $b_pvalue
#>      (Intercept)       Z[, -1]age  Z[, -1]grade_ii Z[, -1]grade_iii 
#>               NA               NA               NA               NA 
#> 
#> $beta_var
#> [1] NA NA NA
#> 
#> $beta_sd
#> [1] NA NA NA
#> 
#> $beta_zvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $beta_pvalue
#>       X[, -1]age  X[, -1]grade_ii X[, -1]grade_iii 
#>               NA               NA               NA 
#> 
#> $call
#> .f(formula = ..1, cureform = ..2, data = ..3, model = "ph", eps = ..6, 
#>     nboot = 1)
#> 
#> $bnm
#> [1] "(Intercept)" "age"         "grade_ii"    "grade_iii"  
#> 
#> $betanm
#> [1] "age"       "grade_ii"  "grade_iii"
#> 
#> $s
#>   [1] 4.270961e-01 2.137884e-01 3.075813e-01 1.795083e-01 1.335154e-01
#>   [6] 4.977218e-01 4.270961e-01 6.952259e-02 7.970699e-01 2.500213e-01
#>  [11] 5.582569e-01 2.684364e-01 5.880913e-02 6.215839e-01 3.177595e-01
#>  [16] 4.977218e-01 1.951293e-03 9.552447e-01 4.977218e-01 3.705746e-01
#>  [21] 9.700710e-01 7.112854e-04 1.335154e-01 3.597141e-01 2.975613e-01
#>  [26] 2.049294e-01 7.144480e-01 7.692934e-01 7.831221e-01 6.693185e-03
#>  [31] 4.737714e-01 4.617702e-01 4.814170e-02 3.816036e-01 1.555326e-01
#>  [36] 3.177595e-01 7.555217e-01 3.388030e-02 6.476245e-01 6.743433e-01
#>  [41] 3.488588e-01 1.131349e-01 6.609119e-01 6.743433e-01 2.779752e-01
#>  [46] 6.693185e-03 5.582569e-01 4.737714e-01 5.880913e-02 1.131349e-01
#>  [51] 8.536850e-01 1.001027e-01 2.319841e-01 1.836350e-02 3.388030e-02
#>  [56] 4.154922e-01 7.417923e-01 2.319841e-01 4.039793e-01 5.339654e-02
#>  [61] 4.977218e-01 8.536850e-01 2.572771e-02 2.876793e-01 9.112298e-01
#>  [66] 8.110708e-01 9.365955e-02 5.833093e-01 8.966316e-01 1.131349e-01
#>  [71] 1.555326e-01 4.270961e-01 4.306181e-02 8.821571e-01 6.215839e-01
#>  [76] 7.280939e-01 2.500213e-01 1.836350e-02 7.730395e-05 3.816036e-01
#>  [81] 8.735776e-02 1.001027e-01 1.555326e-01 1.962459e-01 6.952259e-02
#>  [86] 2.228881e-01 6.693185e-03 1.795083e-01 6.743433e-01 5.457788e-01
#>  [91] 5.833093e-01 1.335154e-01 9.112298e-01 6.693185e-03 2.572771e-02
#>  [96] 9.404833e-01 4.036933e-03 8.110431e-02 3.177595e-01 9.850308e-01
#> [101] 8.251967e-01 8.394224e-01 6.086643e-01 0.000000e+00 0.000000e+00
#> [106] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [111] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [116] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [121] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [126] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [131] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [136] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [141] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [146] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [151] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [156] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [161] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [166] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [171] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [176] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [181] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [186] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [191] 0.000000e+00
#> 
#> $Time
#>     6    51   171     8   170    29   6.1    36    37   184   157   111   153 
#> 15.64 18.23 16.57 18.43 19.54 15.45 15.64 21.19 12.52 17.77 15.10 17.45 21.33 
#>    96   130  29.1   164   183  29.2     5    77   168 170.1   192    23   108 
#> 14.54 16.47 15.45 23.60  9.24 15.45 16.43  7.27 23.72 19.54 16.44 16.92 18.29 
#>    60   140   177    92   167    39   175   188    97 130.1    14   194    57 
#> 13.15 12.68 12.53 22.92 15.55 15.59 21.91 16.16 19.14 16.47 12.89 22.40 14.46 
#>    81   181   105    13  81.1    30  92.1 157.1 167.1 153.1 105.1   107   166 
#> 14.06 16.46 19.75 14.34 14.06 17.43 22.92 15.10 15.55 21.33 19.75 11.18 19.98 
#>   134    63 194.1   125   123 134.1    26   197  29.3 107.1   169    45   101 
#> 17.81 22.77 22.40 15.65 13.00 17.81 15.77 21.60 15.45 11.18 22.41 17.42  9.97 
#>    42   158   180    52 105.2  97.1   6.2    66   159  96.1   155 184.1  63.1 
#> 12.43 20.14 14.82 10.42 19.75 19.14 15.64 22.13 10.55 14.54 13.08 17.77 22.77 
#>    86 188.1   190 166.1  97.2    88    99    40  92.2   8.1  81.2    18 180.1 
#> 23.81 16.16 20.81 19.98 19.14 18.37 21.19 18.00 22.92 18.43 14.06 15.21 14.82 
#> 170.2 101.1  92.3 169.1   187    69    90 130.2    25    56    49   133    98 
#> 19.54  9.97 22.92 22.41  9.92 23.23 20.94 16.47  6.32 12.21 12.19 14.65 24.00 
#>   191    84   178  98.1    74   161    67   200   163    33   172   147    75 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>    94    54    87     7    34    65  34.1     3    71   7.1   193  87.1  94.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 163.1  65.1     9   112  71.1   173  98.2   148  98.3    12   151    44   174 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  71.2   185    35   160   122    82    46    38    17  44.1  54.1  34.2    19 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>   131    48  94.2   9.1   137 200.1  67.1  19.1 131.1 122.1 193.1    62   141 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  74.1 172.1  17.1   121   146  48.1  62.1 112.1   198   103   3.1 112.2   119 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#>  62.2  74.2    20 178.1    47   165   3.2     1 137.1 
#> 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 24.00 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> NULL
#> 
#> $cure_blueprint
#> NULL
#> 
#> 
#> 
#> attr(,"class")
#> [1] "smcure"
#> 
#> $surv_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 2 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#> 
#> $cure_blueprint
#> Formula blueprint: 
#>  
#> # Predictors: 2 
#>   # Outcomes: 0 
#>    Intercept: TRUE 
#> Novel Levels: FALSE 
#>  Composition: tibble 
#>   Indicators: traditional 
#>